• Strong hands-on experience in delivering ML solutions, including production-grade computer vision and forecasting models.
• Proven expertise in forecasting and time series data handling (e.g., ARIMA, LSTM, temporal convolutional networks).
• Proficiency in image and video processing, including segmentation, pose estimation, object detection, and multimodal data fusion.
• Experience with generative AI models such as diffusion-based text-to-image/video, multimodal LLMs, and prompt engineering.
• Skilled in reading, interpreting, and applying insights from academic research papers.
• Expertise in deep learning frameworks like PyTorch or TensorFlow.
• Strong object-oriented programming skills with clean, production-quality Python code.
• Familiarity with Vision Transformers (ViTs), especially for action recognition, object tracking, and video understanding tasks.
• Cloud deployment experience, particularly with AWS.
• Excellent communication skills in English (C1 or higher), both written and spoken.
• Strong ability to work independently, prioritize tasks, and manage multiple projects simultaneously.
Nice to Have
• Master's or Ph.D. degree in Machine Learning, Computer Science, Mathematics, or a related field. • Contributions to open-source ML or CV libraries or participation in Kaggle competitions.
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