Technical Architect

Role & responsibilities Breadth of knowledge in areas of computer vision including either classical methods or ML. These areas may include Image Enhancement, SLAM, calibration, scene understanding, gaze tracking, human representation, and activity recognition. Exposure to GenAI, object detection, facial recognition, content analysis, and behavior analysis models, Experience in implementing Multi Camera Unified Intelligence use cases. Experience leveraging LLMs and developing Agentic AI modules is a good to have Candidates should have exposure to modern innovative techniques including vision transformers, foundation models, and vision-language models, with a focus on integrating these methods into resource-constrained environments. Experience in reusable /libraries, and techniques (e.g., OpenCV, TensorFlow, PyTorch) for Video Analytics Experience in optimizing and fine-tuning ISP pipelines, including tasks like noise reduction, color correction, demosaicing, and dynamic range enhancement.