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Tier-1 employer, general ML role in Bangalore with strong brand attracts many qualified applicants.
Strong automotive perception, camera-ISP, and embedded optimization requirements reduce cross-industry transferability.
Requires specific CV/ML experience, production-grade skills, and automotive process compliance, making filters stringent.
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Own end-to-end design and implementation of perception algorithms for AI production stack impacting perception, decision-making, and safety systems in next-gen vehicles.
Research and benchmark state-of-the-art algorithms and develop novel, compute-efficient perception algorithms robust to variable real-world conditions.
Collaborate globally to deliver scalable AI algorithms and ensure compliance with AI process standards like EU AI Act and ASPICE ML Process.
Bachelor’s or Master’s degree in Computer Vision, Computer Science, or related fields.
1-2+ years experience in developing production-grade Computer Vision algorithms for real-world scenarios.
Strong skills in Python, OpenCV, SciPy, PyTorch, and knowledge of SOTA CNNs and ML/DL model training on large datasets.
Understanding of Camera ISP pipelines, ML processes for algorithm development; no explicit notice period mentioned.
Experience delivering production-grade perception algorithms specifically in Automotive domain preferred.
Strong expertise in Perception, Computer Vision, Deep Learning, VLMs/Gen AI, including performance metrics and error analysis.
Capable of optimizing models for embedded/edge deployment and working with diverse camera modalities (RGB, NIR, FIR, Depth).