Field Solutions Architect, Generative AI, Google Cloud (English) corporate_fare Google place London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. 6 years of experience working in AI/ML as a technical sales engineer or in software engineering. Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch). Experience in Generative AI as a user or a developer. Experience delivering technical presentations and leading business value sessions in English to support client relationship management in this region. Preferred Qualifications: Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches. Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models. Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion. Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. Understanding of nearest neighbor search concepts. About the Job: As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud's AI/ML and Generative AI technology with AI native customers, large enterprises, and early-stage AI startups. You will help customers innovate faster with solutions using Google Cloud's flexible and open infrastructure including AI Accelerators (TPU/GPU). In this role, you will identify, assess, and develop GenAI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted
Feb 06, 2025
Full time
Field Solutions Architect, Generative AI, Google Cloud (English) corporate_fare Google place London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. 6 years of experience working in AI/ML as a technical sales engineer or in software engineering. Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch). Experience in Generative AI as a user or a developer. Experience delivering technical presentations and leading business value sessions in English to support client relationship management in this region. Preferred Qualifications: Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches. Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models. Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion. Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. Understanding of nearest neighbor search concepts. About the Job: As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud's AI/ML and Generative AI technology with AI native customers, large enterprises, and early-stage AI startups. You will help customers innovate faster with solutions using Google Cloud's flexible and open infrastructure including AI Accelerators (TPU/GPU). In this role, you will identify, assess, and develop GenAI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted
Field Solutions Architect, GenAI, Google Cloud (English) corporate_fare Google place London, UK Apply Minimum qualifications: Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. 6 years of experience working in AI/ML as a technical sales engineer or in software engineering. Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch). Experience in Generative AI as a user or a developer. Experience delivering technical presentations and leading business value sessions. Ability to communicate in English to support client relationship management in this region. Preferred qualifications: Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models. Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion. Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches. Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. Understanding of nearest neighbor search concepts. About the job In this role, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud's AI/ML and Generative AI technology with AI native customers, large enterprises, and early-stage AI startups. You will help customers innovate with solutions using Google Cloud's flexible and open infrastructure including AI Accelerators Tensor Processing Unit (TPU)/Graphics Processing Unit (GPU). You will identify, assess, and develop GenAI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve issues. You will help customers leverage accelerators within the overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted
Feb 06, 2025
Full time
Field Solutions Architect, GenAI, Google Cloud (English) corporate_fare Google place London, UK Apply Minimum qualifications: Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. 6 years of experience working in AI/ML as a technical sales engineer or in software engineering. Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch). Experience in Generative AI as a user or a developer. Experience delivering technical presentations and leading business value sessions. Ability to communicate in English to support client relationship management in this region. Preferred qualifications: Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models. Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion. Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches. Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. Understanding of nearest neighbor search concepts. About the job In this role, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud's AI/ML and Generative AI technology with AI native customers, large enterprises, and early-stage AI startups. You will help customers innovate with solutions using Google Cloud's flexible and open infrastructure including AI Accelerators Tensor Processing Unit (TPU)/Graphics Processing Unit (GPU). You will identify, assess, and develop GenAI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve issues. You will help customers leverage accelerators within the overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted
About the team The Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are seeking a technically proficient, business-minded Solutions Architect to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead. This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale. Provide proactive guidance to maximize business impact and accelerate application development. Experiment and prototype alongside customers, demonstrating practical use cases. Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources. Synthesize and deliver valuable feedback to the Product and Research teams. Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community. You'll thrive in this role if you: Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued. Have passion for startups and a belief in their potential to become future large enterprises. Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices. Built and/or delivered prototypes on top of our API platform. Can proactively identify opportunities for maximizing our customers' business value through leveraging the OpenAI API. Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
Feb 04, 2025
Full time
About the team The Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are seeking a technically proficient, business-minded Solutions Architect to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead. This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale. Provide proactive guidance to maximize business impact and accelerate application development. Experiment and prototype alongside customers, demonstrating practical use cases. Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources. Synthesize and deliver valuable feedback to the Product and Research teams. Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community. You'll thrive in this role if you: Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued. Have passion for startups and a belief in their potential to become future large enterprises. Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices. Built and/or delivered prototypes on top of our API platform. Can proactively identify opportunities for maximizing our customers' business value through leveraging the OpenAI API. Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
Field Solutions Architect, Generative AI, Google Cloud (English) Location: London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. 6 years of experience working in AI/ML as a technical sales engineer or in software engineering. Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch). Experience in Generative AI as a user or a developer. Experience delivering technical presentations and leading business value sessions in English to support client relationship management in this region. Preferred Qualifications: Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches. Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models. Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion. Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. Understanding of nearest neighbor search concepts. About the Job: As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud's AI/ML and Generative AI technology with AI native customers, large enterprises, and early-stage AI startups. You will help customers innovate faster with solutions using Google Cloud's flexible and open infrastructure including AI Accelerators (TPU/GPU). In this role, you will identify, assess, and develop GenAI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most
Feb 03, 2025
Full time
Field Solutions Architect, Generative AI, Google Cloud (English) Location: London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. 6 years of experience working in AI/ML as a technical sales engineer or in software engineering. Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch). Experience in Generative AI as a user or a developer. Experience delivering technical presentations and leading business value sessions in English to support client relationship management in this region. Preferred Qualifications: Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches. Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models. Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion. Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. Understanding of nearest neighbor search concepts. About the Job: As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud's AI/ML and Generative AI technology with AI native customers, large enterprises, and early-stage AI startups. You will help customers innovate faster with solutions using Google Cloud's flexible and open infrastructure including AI Accelerators (TPU/GPU). In this role, you will identify, assess, and develop GenAI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. You will work with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most
Senior Migration Consultant, Professional Services, WWPS UK DESCRIPTION Amazon Web Services (AWS) is looking for an experienced and motivated Senior Migration Consultant to join the AWS Professional Services team, supporting our customers within our Public Sector UK practice. AWS helps thousands of organizations migrate to the cloud and free up resources by lowering IT costs while improving productivity, operational resiliency, and business agility. Migrations to AWS include moving any workload - application, website, database, storage, physical or virtual server, or an entire data center - from an on-premises environment, hosting facility, or other public cloud to AWS. About you Are you a technical professional with experience working on technical and business transformations? Have you migrated IT workloads to the cloud? Have you led large, complex application and modernization programs? Are you able to engage in executive conversations on how customers can achieve greater agility, efficiency, and sustained competitive advantage by migrating and modernizing to the cloud? Can you work equally well with executives and technologists, shaping and leading highly-visible, highly-impactful migration projects that are transformational? AWS Professional Services provides a flexible career path, providing you access to learn AWS Services, and gain AWS and industry Certifications. We encourage you to use your creative cloud skills to implement technical and business solutions for our customers. This is a customer-facing role however we operate a hybrid working model (remote and face-to-face). You will be required to travel to UK client locations to deliver professional services to our customers when required. Key job responsibilities - As a Senior Consultant, you will lead complex projects with autonomy and discretion, often involving multiple Amazon, customer and partner teams. - You will work with customers and partners, leading them through planning, prioritization and delivery of complex transformation and migration initiatives, while collaborating with relevant Sales, Service, and Support Teams. - You will design and deliver solutions that solve for new levels of complexity, scale and performance, and in turn, enable breakthrough innovations. - You will create and apply frameworks, methods, best practices and artifacts that deliver prescriptive guidance to customers, and publish and present them in large forums and across various media platforms. - You will guide customers' technical architecture and investments, maximizing alignment with the platform, and ease of adoption as new services and products become available. - You will help customers define target business outcomes and related work streams, and lead the subsequent projects and initiatives to consistently exceed these goals. - As an Amazonian leader you will demonstrate the Amazon Leadership Principles, coaching and mentoring others on best practices, performance and career development. A day in the life - Working Backwards from desired customer outcomes to design and deliver technical solutions. - Creating, articulating, and positioning an innovative and compelling vision and value proposition for customers to migrate and modernize to the AWS cloud. - Working on projects with autonomy and discretion. - Collaborating across customers and partner teams to drive and shape solutions that accelerate customer's business outcomes. - Working with large scale networks, compute, and storage architectures to help remove roadblocks in customer projects. - Advising customers how to implement solutions. - Assisting customers with building Proof of Concepts and implementing AWS services. - Collaborating with Sales and AWS Service Teams. - Researching, validating, and beta testing new AWS Services. - Presenting workshops one to one, or one to many. About the team AWS Professional Services presents a real opportunity to transform service delivery as well as increase operational efficiencies, and we need passionate, experienced cloud consultants to help our customers realise those benefits. Our consultants collaborate with customer teams to deliver proof-of-concept projects, workshops and architecture assessments, provide advisory services and lead implementation projects working with AWS customers. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - Bachelor's degree, or experience in a professional field or military. - Experience as technical specialist in design and architecture. - Experience in database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis). - Experience in cloud based solution (AWS or equivalent), system, network and operating system. - A UK national and able to obtain UK Government Security Clearance. PREFERRED QUALIFICATIONS - Experience integrating AWS cloud services with on-premise technologies (e.g., Microsoft, IBM, Oracle, HP, SAP). - Experience in consulting, design and implementation of serverless distributed solutions. - AWS Associate or Professional or specialty certification. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Feb 03, 2025
Full time
Senior Migration Consultant, Professional Services, WWPS UK DESCRIPTION Amazon Web Services (AWS) is looking for an experienced and motivated Senior Migration Consultant to join the AWS Professional Services team, supporting our customers within our Public Sector UK practice. AWS helps thousands of organizations migrate to the cloud and free up resources by lowering IT costs while improving productivity, operational resiliency, and business agility. Migrations to AWS include moving any workload - application, website, database, storage, physical or virtual server, or an entire data center - from an on-premises environment, hosting facility, or other public cloud to AWS. About you Are you a technical professional with experience working on technical and business transformations? Have you migrated IT workloads to the cloud? Have you led large, complex application and modernization programs? Are you able to engage in executive conversations on how customers can achieve greater agility, efficiency, and sustained competitive advantage by migrating and modernizing to the cloud? Can you work equally well with executives and technologists, shaping and leading highly-visible, highly-impactful migration projects that are transformational? AWS Professional Services provides a flexible career path, providing you access to learn AWS Services, and gain AWS and industry Certifications. We encourage you to use your creative cloud skills to implement technical and business solutions for our customers. This is a customer-facing role however we operate a hybrid working model (remote and face-to-face). You will be required to travel to UK client locations to deliver professional services to our customers when required. Key job responsibilities - As a Senior Consultant, you will lead complex projects with autonomy and discretion, often involving multiple Amazon, customer and partner teams. - You will work with customers and partners, leading them through planning, prioritization and delivery of complex transformation and migration initiatives, while collaborating with relevant Sales, Service, and Support Teams. - You will design and deliver solutions that solve for new levels of complexity, scale and performance, and in turn, enable breakthrough innovations. - You will create and apply frameworks, methods, best practices and artifacts that deliver prescriptive guidance to customers, and publish and present them in large forums and across various media platforms. - You will guide customers' technical architecture and investments, maximizing alignment with the platform, and ease of adoption as new services and products become available. - You will help customers define target business outcomes and related work streams, and lead the subsequent projects and initiatives to consistently exceed these goals. - As an Amazonian leader you will demonstrate the Amazon Leadership Principles, coaching and mentoring others on best practices, performance and career development. A day in the life - Working Backwards from desired customer outcomes to design and deliver technical solutions. - Creating, articulating, and positioning an innovative and compelling vision and value proposition for customers to migrate and modernize to the AWS cloud. - Working on projects with autonomy and discretion. - Collaborating across customers and partner teams to drive and shape solutions that accelerate customer's business outcomes. - Working with large scale networks, compute, and storage architectures to help remove roadblocks in customer projects. - Advising customers how to implement solutions. - Assisting customers with building Proof of Concepts and implementing AWS services. - Collaborating with Sales and AWS Service Teams. - Researching, validating, and beta testing new AWS Services. - Presenting workshops one to one, or one to many. About the team AWS Professional Services presents a real opportunity to transform service delivery as well as increase operational efficiencies, and we need passionate, experienced cloud consultants to help our customers realise those benefits. Our consultants collaborate with customer teams to deliver proof-of-concept projects, workshops and architecture assessments, provide advisory services and lead implementation projects working with AWS customers. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - Bachelor's degree, or experience in a professional field or military. - Experience as technical specialist in design and architecture. - Experience in database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis). - Experience in cloud based solution (AWS or equivalent), system, network and operating system. - A UK national and able to obtain UK Government Security Clearance. PREFERRED QUALIFICATIONS - Experience integrating AWS cloud services with on-premise technologies (e.g., Microsoft, IBM, Oracle, HP, SAP). - Experience in consulting, design and implementation of serverless distributed solutions. - AWS Associate or Professional or specialty certification. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
You will need to login before you can apply for a job. Sr. GTM Specialist Solutions Architect, Database, Startups, AWS WWSO SUP DESCRIPTION Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Database background in the Startup space, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Startup team as a GTM Specialist Solutions Architect! The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . The WWSO team helps customers adopt our newest and most advantageous technologies. We are technology specialists. The WWSO Startup team is a team dedicated to helping Startups scale quickly and cost-effectively on AWS. We want Startups to grow better when they choose AWS and we make it easier by recommending the right technologies and then by helping Startups get up and running quickly. This position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS' technologies with a focus on Amazon's Database solutions, among others. You will 1/Be the best storytellers and technologists, 2/Work with the most promising Startups, 3/Scale tech knowledge via products, programs, and the AWS Field, and 4/Gather critical Startup feedback to inform our product roadmaps. Key job responsibilities Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships. Become a trusted advisor within customer accounts through Technical Thought Leadership. Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels. Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan. Guide and Support an AWS internal community of technical subject matter experts aligned to your domains. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. Leverage your deep technical expertise in databases to understand the most important customer problems in the Startup space and enable account aligned teams in the field to solve them. BASIC QUALIFICATIONS - 7+ years of design, implementation, or consulting in applications and infrastructures experience - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Bachelor's degree - 5+ years of technical experience in database management systems such as relational databases, NoSQL databases, and data warehouse solutions and large-scale database workloads. - 5+ years management of technical, customer facing resources PREFERRED QUALIFICATIONS - Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity. - Familiarity with open-source software used by Startups and working knowledge of software development tools and methodologies common to Startups. - Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers. - Cloud expertise as demonstrated by one or more cloud certifications. - Demonstrated ability to adapt to new technologies and learn quickly. - Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. - Advanced degree highly preferred such as engineering, computer science, or MIS a plus. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Feb 03, 2025
Full time
You will need to login before you can apply for a job. Sr. GTM Specialist Solutions Architect, Database, Startups, AWS WWSO SUP DESCRIPTION Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Database background in the Startup space, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Startup team as a GTM Specialist Solutions Architect! The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . The WWSO team helps customers adopt our newest and most advantageous technologies. We are technology specialists. The WWSO Startup team is a team dedicated to helping Startups scale quickly and cost-effectively on AWS. We want Startups to grow better when they choose AWS and we make it easier by recommending the right technologies and then by helping Startups get up and running quickly. This position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS' technologies with a focus on Amazon's Database solutions, among others. You will 1/Be the best storytellers and technologists, 2/Work with the most promising Startups, 3/Scale tech knowledge via products, programs, and the AWS Field, and 4/Gather critical Startup feedback to inform our product roadmaps. Key job responsibilities Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships. Become a trusted advisor within customer accounts through Technical Thought Leadership. Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels. Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan. Guide and Support an AWS internal community of technical subject matter experts aligned to your domains. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. Leverage your deep technical expertise in databases to understand the most important customer problems in the Startup space and enable account aligned teams in the field to solve them. BASIC QUALIFICATIONS - 7+ years of design, implementation, or consulting in applications and infrastructures experience - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Bachelor's degree - 5+ years of technical experience in database management systems such as relational databases, NoSQL databases, and data warehouse solutions and large-scale database workloads. - 5+ years management of technical, customer facing resources PREFERRED QUALIFICATIONS - Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity. - Familiarity with open-source software used by Startups and working knowledge of software development tools and methodologies common to Startups. - Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers. - Cloud expertise as demonstrated by one or more cloud certifications. - Demonstrated ability to adapt to new technologies and learn quickly. - Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. - Advanced degree highly preferred such as engineering, computer science, or MIS a plus. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Are you passionate about revolutionising engineering with AI? Here at Monolith AI we're on a mission to empower engineers to use AI to solve even their most intractable physics problems. We've doubled in size over the last four years, and we have ambitious plans moving forward. It's an exciting time, and to continue our growth, we are recruiting a Senior Forward Deployed Data Scientist for our Data Science Team. What you can expect as a Senior Forward Deployed Data Scientist at Monolith AI: We are seeking a Senior Forward Deployed Data Scientist to implement our ML SaaS platform with major automotive and EV manufacturers. You'll develop custom Python-based ML solutions for use cases like anomaly detection and time series analysis, bridging implementation gaps. Collaborating with Customer Success, you'll tackle challenges in ML generalization, guide clients on model performance, and influence product improvements. While focused on delivering client projects, you'll also support pre-sales discovery and mentor junior data scientists, shaping technical delivery strategies. Key Responsibilities: Technical Leadership Lead complex DS-heavy customer projects from inception to production deployment Define and refine technical success criteria for customer implementations Architect and implement custom ML solutions for enterprise clients Develop and optimise existing algorithms for specific customer use cases Write production-quality Python code for custom ML implementations Assess bespoke solutions for generalisation potential and platform evolution Customer Engagement Drive hands-on technical support during custom implementation phases Present technical solutions and ML results to diverse stakeholders Serve as primary technical contact for assigned customer teams Troubleshoot technical issues related to model performance and implementation Partner with CS team members to provide technical expertise in customer reviews Pre-Sales Support Evaluate technical feasibility of non-standard solution requests Assess implementation risks and provide realistic effort estimations Contribute to proposal documentation and statements of work Support proof-of-concept implementations for pre-sales validation Articulate technical differentiation against market alternatives What would set you up for success coming into this role: You are highly autonomous in scoping and delivering end-to-end ML projects, from initial technical assessment through to results presentation and product feedback You are an excellent communicator who can articulate complex ML concepts to diverse audiences, adapting technical depth based on audience expertise You possess strong prioritisation skills with ability to manage multiple concurrent projects and proactively communicate timeline risks You have a strategic mindset to identify opportunities where custom solutions can be generalised into reusable platform components You are an expert at analysing trade-offs and making pragmatic technical decisions that balance solution sophistication against time-to-value You have the ability to assess multiple technical approaches and select solutions that align with both immediate customer needs and long-term platform evolution For this role, it's crucial that you have: 6+ years experience in Machine Learning, Data Science or Forward Deployed roles, with 2+ years direct customer exposure Advanced Python programming skills, including ability to build ML algorithms from scratch using frameworks like numpy, scipy, pytorch, pandas, sklearn Competent SQL skills including CTEs, joins, and ability to learn advanced concepts as needed Experience working in startup or early-stage environments Track record of delivering end-to-end ML projects in production environments It would be a real bonus, but not a requirement if: Experience with time series analysis, anomaly detection, or deep learning Apache Spark knowledge/experience PhD in relevant field, research publications, or contributions to open-source projects Prior experience in successful startups Interview Process: You'll have a 20-minute conversation with one of our internal recruiters to get you excited about the opportunity. You'll then have the opportunity to meet with our Director of Machine Learning and find more about the opportunity whilst having a short problem-solving exercise. You'll then be sent a take-home task and spend 45 minutes discussing it with a couple of our team members. Lastly, you'll have a 45-minute chat with a couple of our team to understand more about the teams you've worked in previously and of course there'll be plenty of time to ask questions. Why Monolith? Our culture is passionate, engaging and collaborative. We are genuine, we bring our true selves to work and celebrate those little quirks that make us different. We have a culture of learning, we encourage new ideas, out of the box thinkers and risk takers. We're all human and sometimes we make mistakes, but we brush ourselves off and try again. Our culture encourages freedom, flexibility and creativity. At Monolith our values are core to how we do business. They're not just words on a wall, we live them every day. Our values are embedded in our internal processes so that we're always reminded of what's important to us and we continue to grow as individuals and as a company. Our values are: Bring yourself to work Always be curious and open Think like an engineer Work smart, not hard Be in this together Our benefits & perks for UK employees: 30 days paid annual leave + bank holidays Pension with NEST Vitality health insurance Wellness allowance through Heka A day off to volunteer per year Regular socials A few things to note: Monolith is proud to be an equal opportunity employer and we value diversity and inclusion. We welcome people of different nationalities, backgrounds, experiences, abilities and perspectives. We don't have an end date to apply for this role, but we will prioritise early applicants, so if you're interested then please apply soon. Only applicants who have the right to work in the UK will be considered. We are not open to working with external recruitment agencies at this time. If you don't quite match everything above but you feel you can succeed in this role then we encourage your application and look forward to hearing from you.
Feb 03, 2025
Full time
Are you passionate about revolutionising engineering with AI? Here at Monolith AI we're on a mission to empower engineers to use AI to solve even their most intractable physics problems. We've doubled in size over the last four years, and we have ambitious plans moving forward. It's an exciting time, and to continue our growth, we are recruiting a Senior Forward Deployed Data Scientist for our Data Science Team. What you can expect as a Senior Forward Deployed Data Scientist at Monolith AI: We are seeking a Senior Forward Deployed Data Scientist to implement our ML SaaS platform with major automotive and EV manufacturers. You'll develop custom Python-based ML solutions for use cases like anomaly detection and time series analysis, bridging implementation gaps. Collaborating with Customer Success, you'll tackle challenges in ML generalization, guide clients on model performance, and influence product improvements. While focused on delivering client projects, you'll also support pre-sales discovery and mentor junior data scientists, shaping technical delivery strategies. Key Responsibilities: Technical Leadership Lead complex DS-heavy customer projects from inception to production deployment Define and refine technical success criteria for customer implementations Architect and implement custom ML solutions for enterprise clients Develop and optimise existing algorithms for specific customer use cases Write production-quality Python code for custom ML implementations Assess bespoke solutions for generalisation potential and platform evolution Customer Engagement Drive hands-on technical support during custom implementation phases Present technical solutions and ML results to diverse stakeholders Serve as primary technical contact for assigned customer teams Troubleshoot technical issues related to model performance and implementation Partner with CS team members to provide technical expertise in customer reviews Pre-Sales Support Evaluate technical feasibility of non-standard solution requests Assess implementation risks and provide realistic effort estimations Contribute to proposal documentation and statements of work Support proof-of-concept implementations for pre-sales validation Articulate technical differentiation against market alternatives What would set you up for success coming into this role: You are highly autonomous in scoping and delivering end-to-end ML projects, from initial technical assessment through to results presentation and product feedback You are an excellent communicator who can articulate complex ML concepts to diverse audiences, adapting technical depth based on audience expertise You possess strong prioritisation skills with ability to manage multiple concurrent projects and proactively communicate timeline risks You have a strategic mindset to identify opportunities where custom solutions can be generalised into reusable platform components You are an expert at analysing trade-offs and making pragmatic technical decisions that balance solution sophistication against time-to-value You have the ability to assess multiple technical approaches and select solutions that align with both immediate customer needs and long-term platform evolution For this role, it's crucial that you have: 6+ years experience in Machine Learning, Data Science or Forward Deployed roles, with 2+ years direct customer exposure Advanced Python programming skills, including ability to build ML algorithms from scratch using frameworks like numpy, scipy, pytorch, pandas, sklearn Competent SQL skills including CTEs, joins, and ability to learn advanced concepts as needed Experience working in startup or early-stage environments Track record of delivering end-to-end ML projects in production environments It would be a real bonus, but not a requirement if: Experience with time series analysis, anomaly detection, or deep learning Apache Spark knowledge/experience PhD in relevant field, research publications, or contributions to open-source projects Prior experience in successful startups Interview Process: You'll have a 20-minute conversation with one of our internal recruiters to get you excited about the opportunity. You'll then have the opportunity to meet with our Director of Machine Learning and find more about the opportunity whilst having a short problem-solving exercise. You'll then be sent a take-home task and spend 45 minutes discussing it with a couple of our team members. Lastly, you'll have a 45-minute chat with a couple of our team to understand more about the teams you've worked in previously and of course there'll be plenty of time to ask questions. Why Monolith? Our culture is passionate, engaging and collaborative. We are genuine, we bring our true selves to work and celebrate those little quirks that make us different. We have a culture of learning, we encourage new ideas, out of the box thinkers and risk takers. We're all human and sometimes we make mistakes, but we brush ourselves off and try again. Our culture encourages freedom, flexibility and creativity. At Monolith our values are core to how we do business. They're not just words on a wall, we live them every day. Our values are embedded in our internal processes so that we're always reminded of what's important to us and we continue to grow as individuals and as a company. Our values are: Bring yourself to work Always be curious and open Think like an engineer Work smart, not hard Be in this together Our benefits & perks for UK employees: 30 days paid annual leave + bank holidays Pension with NEST Vitality health insurance Wellness allowance through Heka A day off to volunteer per year Regular socials A few things to note: Monolith is proud to be an equal opportunity employer and we value diversity and inclusion. We welcome people of different nationalities, backgrounds, experiences, abilities and perspectives. We don't have an end date to apply for this role, but we will prioritise early applicants, so if you're interested then please apply soon. Only applicants who have the right to work in the UK will be considered. We are not open to working with external recruitment agencies at this time. If you don't quite match everything above but you feel you can succeed in this role then we encourage your application and look forward to hearing from you.
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Posted: October 16, 2024 (Updated 1 day ago)
Feb 02, 2025
Full time
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Posted: October 16, 2024 (Updated 1 day ago)
The Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a technically savvy and business-minded solutions architect to deeply partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner for collecting and delivering high fidelity feedback to Product and Research teams. You will collaborate closely with the Partnerships Research and Product teams, and will report to the Head of Success. In this role, you will: Deeply embed with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relationships with our customers' leadership and stakeholders to ensure their application's successful deployment and scale. Contribute to our open-source developer and enterprise resources. Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. You'll thrive in this role if you: Have 8+ years of technical consulting (or equivalent) experience. Built and/or delivered prototypes on top of our API platform. Led complex technical projects and programs with many stakeholders. Can proactively identify opportunities for maximizing our customers' business value through leveraging the OpenAI API. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done to ensure both your team and our customers succeed. Have a humble attitude and an eagerness to help others with empathy. Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize. Thrive in dynamic environments and can navigate ambiguity with ease. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
Feb 02, 2025
Full time
The Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a technically savvy and business-minded solutions architect to deeply partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner for collecting and delivering high fidelity feedback to Product and Research teams. You will collaborate closely with the Partnerships Research and Product teams, and will report to the Head of Success. In this role, you will: Deeply embed with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relationships with our customers' leadership and stakeholders to ensure their application's successful deployment and scale. Contribute to our open-source developer and enterprise resources. Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. You'll thrive in this role if you: Have 8+ years of technical consulting (or equivalent) experience. Built and/or delivered prototypes on top of our API platform. Led complex technical projects and programs with many stakeholders. Can proactively identify opportunities for maximizing our customers' business value through leveraging the OpenAI API. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done to ensure both your team and our customers succeed. Have a humble attitude and an eagerness to help others with empathy. Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize. Thrive in dynamic environments and can navigate ambiguity with ease. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
Sr. GTM Specialist SA AIML GenAI UK, EMEA GTM Data and AI Solutions Architecture Job ID: AWS EMEA SARL (UK Branch) Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! The EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers in innovating, operationalizing, and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. This role helps customers by providing GenAI/ML best practices, including techniques for responsible AI, model fine-tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners, and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerate the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risks, and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners, and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key job responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures, and public-speaking events such as AWS Summit, AWS re:Invent, etc. Guide and support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. About the team The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist, and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . BASIC QUALIFICATIONS - Experience design/implementation/consulting experience of distributed applications. - Management of technical, customer-facing resources. - Experience with AI/ML or related technology domain. - Hands-on experience with building ML/data pipelines, data engineering, or similar technologies. - Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. PREFERRED QUALIFICATIONS - History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. - Experience migrating or transforming legacy customer solutions to the cloud. - Familiarity with common enterprise services and working knowledge of software development tools and methodologies. - Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT management, and developers. - Experience working within software development or Internet-related industries. - AWS Solution Architecture certification or relevant cloud expertise. - Computer Science/relevant degree and/or experience highly desired. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Feb 01, 2025
Full time
Sr. GTM Specialist SA AIML GenAI UK, EMEA GTM Data and AI Solutions Architecture Job ID: AWS EMEA SARL (UK Branch) Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! The EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers in innovating, operationalizing, and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. This role helps customers by providing GenAI/ML best practices, including techniques for responsible AI, model fine-tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners, and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerate the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risks, and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners, and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key job responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures, and public-speaking events such as AWS Summit, AWS re:Invent, etc. Guide and support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. About the team The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist, and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . BASIC QUALIFICATIONS - Experience design/implementation/consulting experience of distributed applications. - Management of technical, customer-facing resources. - Experience with AI/ML or related technology domain. - Hands-on experience with building ML/data pipelines, data engineering, or similar technologies. - Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. PREFERRED QUALIFICATIONS - History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. - Experience migrating or transforming legacy customer solutions to the cloud. - Familiarity with common enterprise services and working knowledge of software development tools and methodologies. - Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT management, and developers. - Experience working within software development or Internet-related industries. - AWS Solution Architecture certification or relevant cloud expertise. - Computer Science/relevant degree and/or experience highly desired. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Data Scientist, AWS Generative AI Innovation Center Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their organization. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. We're looking for Data Scientists capable of using generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Emirati national is required. Key Job Responsibilities As a Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the Team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train or fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The Generative AI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost-efficiently. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Minimum Requirements Bachelor's degree or Master's degree with several years of experience. Several years of experience building models for business applications. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, and/or machine learning. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. PhD or Master's degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Practical experience in solving complex problems in an applied environment. Hands-on experience building models with deep learning frameworks like PyTorch, TensorFlow, or JAX. Prior experience in training and fine-tuning of Large Language Models (LLMs). Knowledge of AWS platform and tools.
Jan 31, 2025
Full time
Data Scientist, AWS Generative AI Innovation Center Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their organization. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. We're looking for Data Scientists capable of using generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Emirati national is required. Key Job Responsibilities As a Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the Team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train or fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The Generative AI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost-efficiently. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Minimum Requirements Bachelor's degree or Master's degree with several years of experience. Several years of experience building models for business applications. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, and/or machine learning. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. PhD or Master's degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Practical experience in solving complex problems in an applied environment. Hands-on experience building models with deep learning frameworks like PyTorch, TensorFlow, or JAX. Prior experience in training and fine-tuning of Large Language Models (LLMs). Knowledge of AWS platform and tools.
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Solutions Architecture team works with our largest, most complex users to understand their technical requirements and map those to Stripe technology. What you'll do As a Solutions Architect, you will partner with Sales to technically qualify new business opportunities, demonstrate the art of the possible with the Stripe Platform, and design robust technical solutions to enable payment transactions, manage money movements and simplify financial operational processes. Responsibilities Engage with Chief Technical Officers, engineering leads, and other technical leads at key users to share technology roadmaps, demonstrate the latest innovations, and define a solution strategy to solve problems. Lead technical discussions and solution deep dives with users on the value Stripe can provide to them. Serve as an advocate for your customers internally, to ensure their needs are represented with product engineering and to influence product direction and priorities. Plan and participate in quarterly business reviews with your users, identify new opportunities and collaborate on detailed account planning with account teams. Create technical content (reference architectures, demos, etc.) to share with users as well as speak as a thought leader at industry conferences. Who you are You will be an experienced technologist with a blend of technical depth and strong business consulting skills. You can write code, but prefer to spend your time working with users to create Stripe solutions to support customer business objectives in complex, mission-critical environments. You will think strategically about the art of the possible for the user's business, and be able to clearly articulate that in a way that informs and builds confidence in Stripe's technology. You should be able to engage and motivate cross-functionally both internally and within our customer's organisations at all levels, from Cx to Product Engineering. You will have a track record of delivering exceptional customer results as part of a pre-sales team, but a history of deep technical work that gives you the ability to be credible with any audience. Minimum Requirements 7 years work experience or equivalent in any mixture of roles including pre-sales, technical architecture (application, technical, systems, integration), technical consulting, application delivery or technical engineering role, with at least 3 years in a customer facing pre-sales role. Possess strong technical knowledge in software architecture, have breadth across technology stacks with deep hands-on skills, and comfortable talking about technical concepts and explaining how they work, both from a product feature and API architecture perspective. Ability to write code. Experience with large enterprise customers. Strong verbal and written communication abilities, including presenting to large audiences. Preferred qualifications A background in payments systems and e-commerce solutions. Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. The annual salary range for this role in the primary location is £138,800 - £208,200. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.
Jan 31, 2025
Full time
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Solutions Architecture team works with our largest, most complex users to understand their technical requirements and map those to Stripe technology. What you'll do As a Solutions Architect, you will partner with Sales to technically qualify new business opportunities, demonstrate the art of the possible with the Stripe Platform, and design robust technical solutions to enable payment transactions, manage money movements and simplify financial operational processes. Responsibilities Engage with Chief Technical Officers, engineering leads, and other technical leads at key users to share technology roadmaps, demonstrate the latest innovations, and define a solution strategy to solve problems. Lead technical discussions and solution deep dives with users on the value Stripe can provide to them. Serve as an advocate for your customers internally, to ensure their needs are represented with product engineering and to influence product direction and priorities. Plan and participate in quarterly business reviews with your users, identify new opportunities and collaborate on detailed account planning with account teams. Create technical content (reference architectures, demos, etc.) to share with users as well as speak as a thought leader at industry conferences. Who you are You will be an experienced technologist with a blend of technical depth and strong business consulting skills. You can write code, but prefer to spend your time working with users to create Stripe solutions to support customer business objectives in complex, mission-critical environments. You will think strategically about the art of the possible for the user's business, and be able to clearly articulate that in a way that informs and builds confidence in Stripe's technology. You should be able to engage and motivate cross-functionally both internally and within our customer's organisations at all levels, from Cx to Product Engineering. You will have a track record of delivering exceptional customer results as part of a pre-sales team, but a history of deep technical work that gives you the ability to be credible with any audience. Minimum Requirements 7 years work experience or equivalent in any mixture of roles including pre-sales, technical architecture (application, technical, systems, integration), technical consulting, application delivery or technical engineering role, with at least 3 years in a customer facing pre-sales role. Possess strong technical knowledge in software architecture, have breadth across technology stacks with deep hands-on skills, and comfortable talking about technical concepts and explaining how they work, both from a product feature and API architecture perspective. Ability to write code. Experience with large enterprise customers. Strong verbal and written communication abilities, including presenting to large audiences. Preferred qualifications A background in payments systems and e-commerce solutions. Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. The annual salary range for this role in the primary location is £138,800 - £208,200. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.
About MoonPay Hi, we're MoonPay. We're here to onboard the world to Web3. Why? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it. What we do We're the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs. And over 20 million people around the world now trust our products - just take a look on Trustpilot. We're also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands. But that's not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account. It's taken off in a big way, and we're working hard to continually improve it and to strive for perfection. So whatever your background, we're sure there's something for you here. Come help us build the future of Web3 and digital ownership. Locations Supported We are happy to consider candidates who are based in United Kingdom, Ireland, Portugal, Netherlands, Poland, Czechia, Romania, Italy. Candidates based outside of these locations will not be considered. About the Opportunity ️ Our engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Analyst. We currently have squads across Crypto / NFT / Payments / Core Product / Web3 and others. We're pragmatic and believe in having fluid structure, this means people can move between teams or specialize. What you will do Architect and develop new and existing products and features. Work with Product Managers to come up with the best solutions and implementation plans for new features or changes to existing ones. Collaborate with other product teams to deliver and improve customer facing features. Contribute to the estimations, planning and execution of projects, features, and integrations. Integrate and work closely with external service providers to ensure smooth operation. Maintain and improve our existing codebase. Write fully tested, high quality and performant code. Work in close partnership with designers, product thinkers, and customers, to impact the lives of millions of users. About You Extensive React Native or mobile experience at leading startups or fast growing tech companies. Confidence in developing, releasing and maintaining server applications in a fast paced, iterative environment. Either experience with some of our tech stack, or are confident you can cross train and up skill quickly. Bonus points if you make open-source contributions or have experience in web3. As a Senior you will be expected to: Mentor and coach Engineers. Champion the writing of high quality code. Contribute to our overall approach and standards within the Engineering discipline. Including design, documentation, monitoring and alerting. Lead initiatives from an engineering perspective, partnering closely with product managers. What you will be working with Typescript as our programming language of choice React Native to develop our iOS and Android cross platform application React as our web frontend Google Cloud Platform to host our services Most importantly, though, you will embody the core principles that everyone here at the MoonPay lives by. Our "BLOCK Values" are at the heart of everything we do - and they are B - Be Hungry L - Level Up O - Own It C - Crypto Curious K - Kaizen MoonPay Perks Equity package Unlimited holidays Paid parental leave Annual training budget Home office setup allowance Monthly budget to spend on our products Working in a disruptive and fast-growing industry where the possibilities are endless Freedom, autonomy and responsibility Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot. Please let us know if you require any accommodations for the interview process, and we'll do our best to provide assistance. Commitment To Diversity At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That's why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence. MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process. Please be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other please be aware that this is not us.
Jan 29, 2025
Full time
About MoonPay Hi, we're MoonPay. We're here to onboard the world to Web3. Why? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it. What we do We're the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs. And over 20 million people around the world now trust our products - just take a look on Trustpilot. We're also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands. But that's not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account. It's taken off in a big way, and we're working hard to continually improve it and to strive for perfection. So whatever your background, we're sure there's something for you here. Come help us build the future of Web3 and digital ownership. Locations Supported We are happy to consider candidates who are based in United Kingdom, Ireland, Portugal, Netherlands, Poland, Czechia, Romania, Italy. Candidates based outside of these locations will not be considered. About the Opportunity ️ Our engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Analyst. We currently have squads across Crypto / NFT / Payments / Core Product / Web3 and others. We're pragmatic and believe in having fluid structure, this means people can move between teams or specialize. What you will do Architect and develop new and existing products and features. Work with Product Managers to come up with the best solutions and implementation plans for new features or changes to existing ones. Collaborate with other product teams to deliver and improve customer facing features. Contribute to the estimations, planning and execution of projects, features, and integrations. Integrate and work closely with external service providers to ensure smooth operation. Maintain and improve our existing codebase. Write fully tested, high quality and performant code. Work in close partnership with designers, product thinkers, and customers, to impact the lives of millions of users. About You Extensive React Native or mobile experience at leading startups or fast growing tech companies. Confidence in developing, releasing and maintaining server applications in a fast paced, iterative environment. Either experience with some of our tech stack, or are confident you can cross train and up skill quickly. Bonus points if you make open-source contributions or have experience in web3. As a Senior you will be expected to: Mentor and coach Engineers. Champion the writing of high quality code. Contribute to our overall approach and standards within the Engineering discipline. Including design, documentation, monitoring and alerting. Lead initiatives from an engineering perspective, partnering closely with product managers. What you will be working with Typescript as our programming language of choice React Native to develop our iOS and Android cross platform application React as our web frontend Google Cloud Platform to host our services Most importantly, though, you will embody the core principles that everyone here at the MoonPay lives by. Our "BLOCK Values" are at the heart of everything we do - and they are B - Be Hungry L - Level Up O - Own It C - Crypto Curious K - Kaizen MoonPay Perks Equity package Unlimited holidays Paid parental leave Annual training budget Home office setup allowance Monthly budget to spend on our products Working in a disruptive and fast-growing industry where the possibilities are endless Freedom, autonomy and responsibility Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot. Please let us know if you require any accommodations for the interview process, and we'll do our best to provide assistance. Commitment To Diversity At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That's why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence. MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process. Please be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other please be aware that this is not us.
About MoonPay Hi, we're MoonPay. We're here to onboard the world to Web3. Why? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it. What we do We're the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs. And over 20 million people around the world now trust our products - just take a look on Trustpilot. We're also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands. But that's not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account. It's taken off in a big way, and we're working hard to continually improve it and to strive for perfection. So whatever your background, we're sure there's something for you here. Come help us build the future of Web3 and digital ownership. Locations Supported We are happy to consider candidates who are based in United Kingdom, Ireland, Portugal, Netherlands, Poland, Czechia, Romania, Italy. Candidates based outside of these locations will not be considered. About the Opportunity ️ Our engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Analyst. We currently have squads across Crypto / NFT / Payments / Core Product / Web3 and others. We're pragmatic and believe in having fluid structure, this means people can move between teams or specialize. What you will do Architect and develop new and existing products and features. Work with Product Managers to come up with the best solutions and implementation plans for new features or changes to existing ones. Collaborate with other product teams to deliver and improve customer facing features. Contribute to the estimations, planning and execution of projects, features, and integrations. Integrate and work closely with external service providers to ensure smooth operation. Maintain and improve our existing codebase. Write fully tested, high quality and performant code. Work in close partnership with designers, product thinkers, and customers, to impact the lives of millions of users. About You Extensive React Native or mobile experience at leading startups or fast growing tech companies. Confidence in developing, releasing and maintaining server applications in a fast paced, iterative environment. Either experience with some of our tech stack, or are confident you can cross train and up skill quickly. Bonus points if you make open-source contributions or have experience in web3. As a Senior you will be expected to: Mentor and coach Engineers. Champion the writing of high quality code. Contribute to our overall approach and standards within the Engineering discipline. Including design, documentation, monitoring and alerting. Lead initiatives from an engineering perspective, partnering closely with product managers. What you will be working with Typescript as our programming language of choice React Native to develop our iOS and Android cross platform application React as our web frontend Google Cloud Platform to host our services Most importantly, though, you will embody the core principles that everyone here at the MoonPay lives by. Our "BLOCK Values" are at the heart of everything we do - and they are B - Be Hungry L - Level Up O - Own It C - Crypto Curious K - Kaizen MoonPay Perks Equity package Unlimited holidays Paid parental leave Annual training budget Home office setup allowance Monthly budget to spend on our products Working in a disruptive and fast-growing industry where the possibilities are endless Freedom, autonomy and responsibility Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot. Please let us know if you require any accommodations for the interview process, and we'll do our best to provide assistance. Commitment To Diversity At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That's why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence. MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process. Please be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other please be aware that this is not us.
Jan 29, 2025
Full time
About MoonPay Hi, we're MoonPay. We're here to onboard the world to Web3. Why? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it. What we do We're the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs. And over 20 million people around the world now trust our products - just take a look on Trustpilot. We're also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands. But that's not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account. It's taken off in a big way, and we're working hard to continually improve it and to strive for perfection. So whatever your background, we're sure there's something for you here. Come help us build the future of Web3 and digital ownership. Locations Supported We are happy to consider candidates who are based in United Kingdom, Ireland, Portugal, Netherlands, Poland, Czechia, Romania, Italy. Candidates based outside of these locations will not be considered. About the Opportunity ️ Our engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Analyst. We currently have squads across Crypto / NFT / Payments / Core Product / Web3 and others. We're pragmatic and believe in having fluid structure, this means people can move between teams or specialize. What you will do Architect and develop new and existing products and features. Work with Product Managers to come up with the best solutions and implementation plans for new features or changes to existing ones. Collaborate with other product teams to deliver and improve customer facing features. Contribute to the estimations, planning and execution of projects, features, and integrations. Integrate and work closely with external service providers to ensure smooth operation. Maintain and improve our existing codebase. Write fully tested, high quality and performant code. Work in close partnership with designers, product thinkers, and customers, to impact the lives of millions of users. About You Extensive React Native or mobile experience at leading startups or fast growing tech companies. Confidence in developing, releasing and maintaining server applications in a fast paced, iterative environment. Either experience with some of our tech stack, or are confident you can cross train and up skill quickly. Bonus points if you make open-source contributions or have experience in web3. As a Senior you will be expected to: Mentor and coach Engineers. Champion the writing of high quality code. Contribute to our overall approach and standards within the Engineering discipline. Including design, documentation, monitoring and alerting. Lead initiatives from an engineering perspective, partnering closely with product managers. What you will be working with Typescript as our programming language of choice React Native to develop our iOS and Android cross platform application React as our web frontend Google Cloud Platform to host our services Most importantly, though, you will embody the core principles that everyone here at the MoonPay lives by. Our "BLOCK Values" are at the heart of everything we do - and they are B - Be Hungry L - Level Up O - Own It C - Crypto Curious K - Kaizen MoonPay Perks Equity package Unlimited holidays Paid parental leave Annual training budget Home office setup allowance Monthly budget to spend on our products Working in a disruptive and fast-growing industry where the possibilities are endless Freedom, autonomy and responsibility Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot. Please let us know if you require any accommodations for the interview process, and we'll do our best to provide assistance. Commitment To Diversity At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That's why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence. MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process. Please be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other please be aware that this is not us.
Job Title: Chief Financial & Operations Officer (CFOO) - Deep Tech Startup Location: United kingdom, remote Type: Full-time, contract(12 months that will later lead to a full time paye scheme offer with benefits) About Us: We are a deep-tech startup developing electric autonomous construction equipment designed to transform the industry. Our team is growing, our technology is advancing, and we're looking for a dynamic Chief Financial & Operations Officer (CFOO) to help steer the ship. This role is as much about rolling up your sleeves and putting out fires as it is about setting the strategic course for our finances and operations. The Role: As our CFOO, you will act as the financial architect of the uk subsidiary and work with the head of operations of our company. You'll ensure we stay financially sound while also creating and managing scalable operational systems to drive efficiency and solve day-to-day challenges. We're looking for a leader who thrives in fast-paced, high-growth environments and can seamlessly shift between big-picture strategy and on-the-ground execution. Key Responsibilities: Financial Leadership: Own all aspects of financial planning, including budgeting, runway forecasting, and cash flow management. Manage finances on various programs to ensure forcasts are aligned with actual spend Issue wires and work with our accounting firm to ensure seemless payroll Build and refine financial models to align with our growth trajectory and strategic objectives. Deliver actionable insights to the leadership team to drive informed decision-making. Establish processes to monitor and control expenses, ensuring financial discipline across the organization. Partner with the CEO on fundraising efforts, including financial reporting, pitch preparation, and investor relations. Operational Leadership. Oversee day-to-day operations with other operational leaders at the company, ensuring alignment with company goals and rapid resolution of issues. Design and implement scalable processes to optimize productivity and efficiency across teams. Lead cross-functional problem-solving efforts, taking ownership of critical initiatives that impact multiple departments. Drive operational readiness for product launches, manufacturing, supply chain, and scaling efforts. Act as a steadying force in high-pressure situations, resolving bottlenecks and fostering a culture of solutions-oriented teamwork. Strategic Growth & Team Building: Collaborate with team leads to set realistic budgets and operational goals while holding them accountable for execution. Contribute to long-term strategy by aligning financial and operational plans with business objectives. What We're Looking For: Experience: Experience in finance & operations ideally in high-growth startups or deep tech/hardware companies. Proven success in scaling operational systems and building processes from the ground up. Skills & Mindset: Strong financial acumen paired with a deep understanding of operational challenges. Strong background in financial planning Exceptional problem-solving skills with the ability to stay calm and decisive under pressure. Hands-on, adaptable, and capable of seamlessly wearing multiple hats. A natural leader and communicator who can rally teams around common goals. Strategic thinker with a bias for action and a knack for turning strategy into execution.
Jan 29, 2025
Contractor
Job Title: Chief Financial & Operations Officer (CFOO) - Deep Tech Startup Location: United kingdom, remote Type: Full-time, contract(12 months that will later lead to a full time paye scheme offer with benefits) About Us: We are a deep-tech startup developing electric autonomous construction equipment designed to transform the industry. Our team is growing, our technology is advancing, and we're looking for a dynamic Chief Financial & Operations Officer (CFOO) to help steer the ship. This role is as much about rolling up your sleeves and putting out fires as it is about setting the strategic course for our finances and operations. The Role: As our CFOO, you will act as the financial architect of the uk subsidiary and work with the head of operations of our company. You'll ensure we stay financially sound while also creating and managing scalable operational systems to drive efficiency and solve day-to-day challenges. We're looking for a leader who thrives in fast-paced, high-growth environments and can seamlessly shift between big-picture strategy and on-the-ground execution. Key Responsibilities: Financial Leadership: Own all aspects of financial planning, including budgeting, runway forecasting, and cash flow management. Manage finances on various programs to ensure forcasts are aligned with actual spend Issue wires and work with our accounting firm to ensure seemless payroll Build and refine financial models to align with our growth trajectory and strategic objectives. Deliver actionable insights to the leadership team to drive informed decision-making. Establish processes to monitor and control expenses, ensuring financial discipline across the organization. Partner with the CEO on fundraising efforts, including financial reporting, pitch preparation, and investor relations. Operational Leadership. Oversee day-to-day operations with other operational leaders at the company, ensuring alignment with company goals and rapid resolution of issues. Design and implement scalable processes to optimize productivity and efficiency across teams. Lead cross-functional problem-solving efforts, taking ownership of critical initiatives that impact multiple departments. Drive operational readiness for product launches, manufacturing, supply chain, and scaling efforts. Act as a steadying force in high-pressure situations, resolving bottlenecks and fostering a culture of solutions-oriented teamwork. Strategic Growth & Team Building: Collaborate with team leads to set realistic budgets and operational goals while holding them accountable for execution. Contribute to long-term strategy by aligning financial and operational plans with business objectives. What We're Looking For: Experience: Experience in finance & operations ideally in high-growth startups or deep tech/hardware companies. Proven success in scaling operational systems and building processes from the ground up. Skills & Mindset: Strong financial acumen paired with a deep understanding of operational challenges. Strong background in financial planning Exceptional problem-solving skills with the ability to stay calm and decisive under pressure. Hands-on, adaptable, and capable of seamlessly wearing multiple hats. A natural leader and communicator who can rally teams around common goals. Strategic thinker with a bias for action and a knack for turning strategy into execution.
About us Fifth Dimension is the genAIstart-up transforming document-heavy industries. Today we work with real estate businesses in the UK and US, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI assistant, Ellie, transforms how enterprises handle leases, development documents, and investment decisions. We're London and New Yorkbased, early stage and haveample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise: Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of CPTO experience across Silicon Valley and London startups. At Fifth Dimension AI, we're demanding yet encouraging, valuing experimentation and kind challenge. Our company values - Own It, Ship It, and Don't Be Boring - drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement. Transforming how real estate professionals work and tackling global challenges like climate change and affordable housing?Sound like your cup of tea (or coffee) ? Read on! About you We're now hiring a customer-focused AI solutions consultant to join our team - a GenAI whisperer with an insatiable curiosity for solving real-world problems. We need a motivated, adaptable, and proactive person with a deep passion for AI and a desire to delight our customers. You've got real-world experience putting AI to work in businesses, and you love digging into how our customers operate to find where we can make a difference. Details don't slip past you, and you're comfortable wading through lengthy documents to get the full picture. As someone who picks up new skills quickly, you're energised by the fast-paced world of startups. Your entrepreneurial spirit shines through in everything you do, and you have a knack for working directly with customers. More on the role Reporting to our CPO and Founder Johnny Morris, you'll be spending your time bridging the gap between our innovative genAI driven technology and our enterprise customers' unique needs - from collaborating with the sales team to build jaw-dropping proof of concepts to working directly with customers to understand their workflows, to designing and implementing custom solutions using our genAI platform. Day to day, you will Work with the sales team to understand our customers' needs and build templates and proof of concepts to wow them Build directly with our customers to understand their workflows, get feedback and dig into their pain points Collaborate with our world-class engineering team to build the tools you and our customers need Design and implement custom prompt engineering solutions using our genAI platform, including: Data extraction, creating and refining templates to extract structured data out of property leases en masse Workflow automation, analysing planning documents to draft planning advice Creating the perfect content, configuring multi-step content workflows to create market research reports Provide product expertise during the sales process, including demos, detailed proof of concepts, and picking up technical questions Provide support to our customers post-sale, and collaborate with them to iterate and improve their system set-up Become an expert in our customers' processes and disciplines. Share this expertise with the rest of the team What we're looking for Experience in startups is required . We're a small team of skilled and independent contributors - and we need someone who can hit the ground running right alongside them ️. Must First off we need you to have gone deep on prompt engineering - the bug for whispering to LLMs has caught you, and you've built a huge amount of expertise in how to get models to do your bidding. ChatGTP, Claude, Notebook LM, hitting models directly via API, we don't mind when you built your expertise we want to know about it. Then we're looking for: Hands-on experience applying genAI products and solutions in businesses. Amazing attention to detail and a huge capacity for working through document-heavy problems. Our customers send us millions of pages of scanned PDFs! Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences. Be ambitious and resilient - we are a seed company seeking to revolutionise document-heavy industries, and this is a high-challenge (and high-support) startup environment. Nice to have:experience in real estate, law, construction or finance, or other document-heavy professional industries is a plus! We're looking for someone who embodies our core values: Own it, Ship it, and Don't be boring. If you're excited about pushing the boundaries of what's possible with AI and making a real impact on how professionals work with documents, we want to hear from you! What we offer you Competitive salary based on whether you're working from London or New York Meaningful equity (on a standard vesting schedule) A shiny new laptop and budget for other gear of your liking An opportunity to work with cutting-edge technologies ️ An opportunity to wear many hats, and grow with the business Wellbeing budget to promote your physical, mental, and emotional health ️ The process Submit your CV and cover letter, along with answers to the handful of questions we ask of every candidate A brief call to explore the initial fit A live task and competency interview A culture fit interview with a range of people across the business, including the 2 founders
Jan 27, 2025
Full time
About us Fifth Dimension is the genAIstart-up transforming document-heavy industries. Today we work with real estate businesses in the UK and US, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI assistant, Ellie, transforms how enterprises handle leases, development documents, and investment decisions. We're London and New Yorkbased, early stage and haveample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise: Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of CPTO experience across Silicon Valley and London startups. At Fifth Dimension AI, we're demanding yet encouraging, valuing experimentation and kind challenge. Our company values - Own It, Ship It, and Don't Be Boring - drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement. Transforming how real estate professionals work and tackling global challenges like climate change and affordable housing?Sound like your cup of tea (or coffee) ? Read on! About you We're now hiring a customer-focused AI solutions consultant to join our team - a GenAI whisperer with an insatiable curiosity for solving real-world problems. We need a motivated, adaptable, and proactive person with a deep passion for AI and a desire to delight our customers. You've got real-world experience putting AI to work in businesses, and you love digging into how our customers operate to find where we can make a difference. Details don't slip past you, and you're comfortable wading through lengthy documents to get the full picture. As someone who picks up new skills quickly, you're energised by the fast-paced world of startups. Your entrepreneurial spirit shines through in everything you do, and you have a knack for working directly with customers. More on the role Reporting to our CPO and Founder Johnny Morris, you'll be spending your time bridging the gap between our innovative genAI driven technology and our enterprise customers' unique needs - from collaborating with the sales team to build jaw-dropping proof of concepts to working directly with customers to understand their workflows, to designing and implementing custom solutions using our genAI platform. Day to day, you will Work with the sales team to understand our customers' needs and build templates and proof of concepts to wow them Build directly with our customers to understand their workflows, get feedback and dig into their pain points Collaborate with our world-class engineering team to build the tools you and our customers need Design and implement custom prompt engineering solutions using our genAI platform, including: Data extraction, creating and refining templates to extract structured data out of property leases en masse Workflow automation, analysing planning documents to draft planning advice Creating the perfect content, configuring multi-step content workflows to create market research reports Provide product expertise during the sales process, including demos, detailed proof of concepts, and picking up technical questions Provide support to our customers post-sale, and collaborate with them to iterate and improve their system set-up Become an expert in our customers' processes and disciplines. Share this expertise with the rest of the team What we're looking for Experience in startups is required . We're a small team of skilled and independent contributors - and we need someone who can hit the ground running right alongside them ️. Must First off we need you to have gone deep on prompt engineering - the bug for whispering to LLMs has caught you, and you've built a huge amount of expertise in how to get models to do your bidding. ChatGTP, Claude, Notebook LM, hitting models directly via API, we don't mind when you built your expertise we want to know about it. Then we're looking for: Hands-on experience applying genAI products and solutions in businesses. Amazing attention to detail and a huge capacity for working through document-heavy problems. Our customers send us millions of pages of scanned PDFs! Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences. Be ambitious and resilient - we are a seed company seeking to revolutionise document-heavy industries, and this is a high-challenge (and high-support) startup environment. Nice to have:experience in real estate, law, construction or finance, or other document-heavy professional industries is a plus! We're looking for someone who embodies our core values: Own it, Ship it, and Don't be boring. If you're excited about pushing the boundaries of what's possible with AI and making a real impact on how professionals work with documents, we want to hear from you! What we offer you Competitive salary based on whether you're working from London or New York Meaningful equity (on a standard vesting schedule) A shiny new laptop and budget for other gear of your liking An opportunity to work with cutting-edge technologies ️ An opportunity to wear many hats, and grow with the business Wellbeing budget to promote your physical, mental, and emotional health ️ The process Submit your CV and cover letter, along with answers to the handful of questions we ask of every candidate A brief call to explore the initial fit A live task and competency interview A culture fit interview with a range of people across the business, including the 2 founders
Our mission is to connect emerging talents with early-stage startups, fostering a mutually beneficial relationship. We empower the next generation of leaders by providing hands-on experience alongside visionary startup teams, creating a dynamic learning environment. For talents, it opens global doors, tailoring connections to skills and aspirations. Startups benefit from diverse perspectives, injecting innovation into projects. Country: United Republic of Tanzania Co-founder and CTO Role Overview: As the Co-founder and CTO, you will play a pivotal role in shaping Better Career's technology infrastructure, building scalable platforms, and driving innovative solutions to achieve our mission. You will work closely with the CEO and other stakeholders to align technology with organizational goals and ensure smooth execution of technical strategies. Key Responsibilities: Technology Strategy: Develop and execute a comprehensive technology roadmap that aligns with the organization's vision and growth objectives. Platform Development: Oversee the design, development, and deployment of scalable platforms and tools for talent acquisition, skills development, and employer engagement. Team Leadership: Build and lead a high-performing tech team, fostering innovation, collaboration, and technical excellence. Technical Oversight: Manage system architecture, DevOps, cybersecurity, and IT infrastructure to ensure reliability, security, and scalability. Innovation: Identify and implement emerging technologies to improve user experience and operational efficiency. Collaboration: Partner with business teams to align technical solutions with market needs, ensuring product-market fit. Budget Management: Optimize technology budgets and resources for maximum impact. Growth Support: Provide technical expertise to onboard startups and SMEs, ensuring seamless integration with our platforms. Qualifications: Proven experience as a CTO, Lead Developer, or similar role in a startup or technology-driven organization. Strong technical background in software development, system architecture, and DevOps. Experience with developing and scaling platforms for talent management or education technology is a plus. Passion for empowering young professionals and bridging the skills gap. Strong leadership, problem-solving, and communication skills. Entrepreneurial mindset with the ability to thrive in a fast-paced, dynamic environment. Weekly Time Commitment: 10+ hours per week Duration of Volunteer Role: 6+ months (remote) Apply for this volunteer role! Complete this form to apply for the volunteer role. Full Name Email Address LinkedIn Profile What experience do you have that's relevant for this volunteer role? Why do you want to apply for this volunteer role? How much time per week would you be able to volunteer in this role? Remember to be realistic about how much time you can offer. I acknowledge that I am applying for an unpaid volunteering position and will not be paid for the work I undertake. By checking this box, you agree to receive our newsletter, tailored opportunities, and updates about We Make Change.
Jan 25, 2025
Full time
Our mission is to connect emerging talents with early-stage startups, fostering a mutually beneficial relationship. We empower the next generation of leaders by providing hands-on experience alongside visionary startup teams, creating a dynamic learning environment. For talents, it opens global doors, tailoring connections to skills and aspirations. Startups benefit from diverse perspectives, injecting innovation into projects. Country: United Republic of Tanzania Co-founder and CTO Role Overview: As the Co-founder and CTO, you will play a pivotal role in shaping Better Career's technology infrastructure, building scalable platforms, and driving innovative solutions to achieve our mission. You will work closely with the CEO and other stakeholders to align technology with organizational goals and ensure smooth execution of technical strategies. Key Responsibilities: Technology Strategy: Develop and execute a comprehensive technology roadmap that aligns with the organization's vision and growth objectives. Platform Development: Oversee the design, development, and deployment of scalable platforms and tools for talent acquisition, skills development, and employer engagement. Team Leadership: Build and lead a high-performing tech team, fostering innovation, collaboration, and technical excellence. Technical Oversight: Manage system architecture, DevOps, cybersecurity, and IT infrastructure to ensure reliability, security, and scalability. Innovation: Identify and implement emerging technologies to improve user experience and operational efficiency. Collaboration: Partner with business teams to align technical solutions with market needs, ensuring product-market fit. Budget Management: Optimize technology budgets and resources for maximum impact. Growth Support: Provide technical expertise to onboard startups and SMEs, ensuring seamless integration with our platforms. Qualifications: Proven experience as a CTO, Lead Developer, or similar role in a startup or technology-driven organization. Strong technical background in software development, system architecture, and DevOps. Experience with developing and scaling platforms for talent management or education technology is a plus. Passion for empowering young professionals and bridging the skills gap. Strong leadership, problem-solving, and communication skills. Entrepreneurial mindset with the ability to thrive in a fast-paced, dynamic environment. Weekly Time Commitment: 10+ hours per week Duration of Volunteer Role: 6+ months (remote) Apply for this volunteer role! Complete this form to apply for the volunteer role. Full Name Email Address LinkedIn Profile What experience do you have that's relevant for this volunteer role? Why do you want to apply for this volunteer role? How much time per week would you be able to volunteer in this role? Remember to be realistic about how much time you can offer. I acknowledge that I am applying for an unpaid volunteering position and will not be paid for the work I undertake. By checking this box, you agree to receive our newsletter, tailored opportunities, and updates about We Make Change.
You will need to login before you can apply for a job. Data Scientist, Generative AI Innovation Center Sector: Science and Pharmaceutical, Technology Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. - Relevant experience in building large scale machine learning or deep learning models. - Experience communicating across technical and non-technical audiences. - Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. - Fluency in written and spoken English. PREFERRED QUALIFICATIONS - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue). - PhD or Master's degree in Computer Science, or related technical, math, or scientific field. - Proven knowledge of Generative AI and hands-on experience building applications with large foundation models. - Proven knowledge of AWS platform and tools. - Hands-on experience building ML solutions on AWS. - High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit Company Learn more about this company Visit this company's hub to learn about their values, culture, and latest jobs.
Jan 21, 2025
Full time
You will need to login before you can apply for a job. Data Scientist, Generative AI Innovation Center Sector: Science and Pharmaceutical, Technology Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. - Relevant experience in building large scale machine learning or deep learning models. - Experience communicating across technical and non-technical audiences. - Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. - Fluency in written and spoken English. PREFERRED QUALIFICATIONS - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue). - PhD or Master's degree in Computer Science, or related technical, math, or scientific field. - Proven knowledge of Generative AI and hands-on experience building applications with large foundation models. - Proven knowledge of AWS platform and tools. - Hands-on experience building ML solutions on AWS. - High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit Company Learn more about this company Visit this company's hub to learn about their values, culture, and latest jobs.
Sr. GTM Specialist, Self-Managed AI/ML, WWSO Startup EMEA, WWSO Startup EMEA Job ID: AWS EMEA SARL (UK Branch) - F93 Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Startup background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Startup team as a GTM Specialist Solutions Architect! The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . The WWSO team helps customers adopt our newest and most advantageous technologies. We are technology specialists. The WWSO Startup team is a team dedicated to helping Startups scale quickly and cost-effectively on AWS. We want Startups to grow better when they choose AWS and we make it easier by recommending the right technologies and then by helping Startups get up and running quickly. This position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS' Accelerated Computing portfolio (i.e. HPC, AIML, big data), among others. You will 1/Be the best storytellers and technologists, 2/Work with the most promising Startups, 3/Scale tech knowledge via products, programs, and the AWS Field, and 4/Gather critical Startup feedback to inform our product roadmaps. Roles/Responsibilities: Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships. Become a trusted advisor within customer accounts through Technical Thought Leadership. Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels. Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan. Guide and Support an AWS internal community of technical subject matter experts aligned to your domains. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. This role requires 40%- 50% of travel to AWS office and customer sites. It is subject to change by Amazon until further notice About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience in design, implementation, or consulting in applications and infrastructures - Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). - Bachelor's degree - Relevant experience with management of technical, customer facing resources - Relevant technical experience in High Performance Computing, AI/ML, Math, Quantum Information Systems and Technologies, or similar accelerated computing technologies. PREFERRED QUALIFICATIONS - Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity. - Familiarity with open-source software used by Startups and working knowledge of software development tools and methodologies common to Startups. - Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers. - Cloud expertise as demonstrated by one or more cloud certifications. - Demonstrated ability to adapt to new technologies and learn quickly. - Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. - Advanced degree highly preferred such as engineering, computer science, or MIS a plus. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit Posted: October 8, 2024 (Updated about 1 hour ago) Posted: August 22, 2024 (Updated about 7 hours ago) Posted: November 6, 2024 (Updated about 7 hours ago) Posted: November 5, 2024 (Updated 1 day ago) Posted: October 16, 2024 (Updated 1 day ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Jan 21, 2025
Full time
Sr. GTM Specialist, Self-Managed AI/ML, WWSO Startup EMEA, WWSO Startup EMEA Job ID: AWS EMEA SARL (UK Branch) - F93 Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Startup background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Startup team as a GTM Specialist Solutions Architect! The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . The WWSO team helps customers adopt our newest and most advantageous technologies. We are technology specialists. The WWSO Startup team is a team dedicated to helping Startups scale quickly and cost-effectively on AWS. We want Startups to grow better when they choose AWS and we make it easier by recommending the right technologies and then by helping Startups get up and running quickly. This position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS' Accelerated Computing portfolio (i.e. HPC, AIML, big data), among others. You will 1/Be the best storytellers and technologists, 2/Work with the most promising Startups, 3/Scale tech knowledge via products, programs, and the AWS Field, and 4/Gather critical Startup feedback to inform our product roadmaps. Roles/Responsibilities: Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships. Become a trusted advisor within customer accounts through Technical Thought Leadership. Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels. Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan. Guide and Support an AWS internal community of technical subject matter experts aligned to your domains. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. This role requires 40%- 50% of travel to AWS office and customer sites. It is subject to change by Amazon until further notice About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience in design, implementation, or consulting in applications and infrastructures - Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). - Bachelor's degree - Relevant experience with management of technical, customer facing resources - Relevant technical experience in High Performance Computing, AI/ML, Math, Quantum Information Systems and Technologies, or similar accelerated computing technologies. PREFERRED QUALIFICATIONS - Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity. - Familiarity with open-source software used by Startups and working knowledge of software development tools and methodologies common to Startups. - Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers. - Cloud expertise as demonstrated by one or more cloud certifications. - Demonstrated ability to adapt to new technologies and learn quickly. - Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. - Advanced degree highly preferred such as engineering, computer science, or MIS a plus. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit Posted: October 8, 2024 (Updated about 1 hour ago) Posted: August 22, 2024 (Updated about 7 hours ago) Posted: November 6, 2024 (Updated about 7 hours ago) Posted: November 5, 2024 (Updated 1 day ago) Posted: October 16, 2024 (Updated 1 day ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We're here to change that. As former computer scientists, physicists, and quants, we've experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet-where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 60, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we're one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product, and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects. An engineer in this position will operate with high degrees of autonomy and will work to build and extend multiple foundational systems. They will be expected to use simple tools to craft performant, reliable, and maintainable solutions to challenging problems - both technical and product. What to expect High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right. Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company. End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design, and architectural decisions, all the way to deployment, monitoring, and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements. Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together. Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade-offs are involved in building reliable, performant software at speed. Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent. Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem-solving and thinking from first principles. You're ready to pick up new skills and build quickly. Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go. Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and leveling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use: Backend: Python Frontend: Typescript and React Kubernetes for deployment GCP for underlying infrastructure Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures, and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate and eager to learn. What We Offer Competitive salary, commission, and equity in a hyper growth business. Strong in-person culture: most of our team is in the office 3+ days a week. Room to grow into anything you choose to - a year ago we were 25 people, now we're 60. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle. 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services for enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
Jan 21, 2025
Full time
About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We're here to change that. As former computer scientists, physicists, and quants, we've experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet-where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 60, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we're one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product, and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects. An engineer in this position will operate with high degrees of autonomy and will work to build and extend multiple foundational systems. They will be expected to use simple tools to craft performant, reliable, and maintainable solutions to challenging problems - both technical and product. What to expect High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right. Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company. End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design, and architectural decisions, all the way to deployment, monitoring, and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements. Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together. Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade-offs are involved in building reliable, performant software at speed. Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent. Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem-solving and thinking from first principles. You're ready to pick up new skills and build quickly. Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go. Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and leveling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use: Backend: Python Frontend: Typescript and React Kubernetes for deployment GCP for underlying infrastructure Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures, and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate and eager to learn. What We Offer Competitive salary, commission, and equity in a hyper growth business. Strong in-person culture: most of our team is in the office 3+ days a week. Room to grow into anything you choose to - a year ago we were 25 people, now we're 60. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle. 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services for enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.