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Popular AI role, Chennai metro location, and broad deep-learning requirements increase candidate competition.
Automotive ADAS, sensor fusion, and embedded deployment require specialized automotive domain experience.
Explicit 2–5 year requirement plus specific deep-learning, CV, and embedded deployment skills.
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Develop, benchmark, test, and document advanced algorithms for autonomous driving systems including object detection, lane detection, and scene understanding.
Research and integrate new vision and sensor technologies, and contribute to design reviews and patent filings.
Develop and optimize algorithms for embedded platforms and represent the company in industry forums and conferences.
2 to 5 years of work experience in AI or related fields.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
Strong skills in deep learning, computer vision, python programming, software engineering, version control (git), and automation scripting (bash).
Proven expertise with object detection models like YOLO and semantic segmentation.
Experienced in designing and deploying complex AI systems for autonomous driving or robotics with sensor fusion knowledge.
Research-oriented with contributions to top-tier AI/vision conferences (CVPR, NeurIPS, ICCV, ECCV).
Capable of independently driving algorithm development and process improvements in embedded real-time automotive or ADAS environments.