Conversational AI Consultant, Google Cloud

• link Copy link

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Apply

• link Copy link
• Bachelor's degree in Computer Science or equivalent practical experience.
• 6 years of experience building machine learning solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.

• Experience designing applications powered by Large Language Models and leading their implementation.
• Experience working with recommendation engines, data pipelines, or distributed machine learning.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).
• Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
• Understanding of contact center technologies and platforms (e.g., Avaya, Genesys, Cisco, Mitel, Twilio, etc.).
• Understanding of the practical concerns in production machine learning systems.

The Google Cloud Consulting Professional Services team guides customers through their cloud journey to help businesses thrive. We help customers transform their business using Google's global network, data centers, and software infrastructure. As part of an innovative team, you will help shape the future of businesses and connect with customers, employees, and partners.

As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging Google products including TensorFlow, DataFlow, and Vertex AI. You will identify opportunities to apply machine learning, deploy solutions at customer sites, and deliver workshops to educate and empower customers. You will work closely with Product Management and Product Engineering to build and improve our products.

You will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, troubleshooting, monitoring, and more. Google Cloud helps organizations digitally transform by providing enterprise-grade solutions that leverage cutting-edge technology. Customers in over 200 countries rely on Google Cloud for growth and solving critical business problems.

• Be a trusted technical advisor to customers and solve machine learning challenges.
• Coach customers on practical challenges in machine learning systems: feature extraction, data validation, monitoring, and model management.
• Collaborate with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
• Create and share best practice recommendations, tutorials, blog articles, and sample code.
• Travel up to 30% in-region for meetings, reviews, and onsite activities as needed.

Google is an equal opportunity employer committed to diversity and inclusion. We provide an environment of belonging and equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related conditions. See Google's EEO Policy and related resources for more information.

English proficiency is required for all roles to facilitate global collaboration.

Note to recruitment agencies: Google does not accept agency resumes and is not responsible for fees related to unsolicited resumes.