Artificial Intelligence Engineer

3 weeks ago

New Delhi, India Valeo Full time

Your Responsibilities- Research, develop, benchmark, test and document state of the art algorithms for autonomous driving. - Research new vision and other sensor technology, ideas, and approaches. - Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications. - Contribute to design reviews across algorithm teams. - Consider next generation algorithms and new business opportunities. - Develop algorithms with a view to implementing on embedded platforms. - Represent Valeo anSWer at various Industry Working Groups and at Conferences. - Support the design and implementation of in-company training sessions in your area of expertise. - Strive to improve competencies in the field of automotive sensors based ADAS, DL frameworks & techniques. - Identify inefficiencies and suggest/implement improvements within the current processes used in algorithm developmentMinimum Qualifications- Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field - 2-6 years relevant experience in AI / DL development - Strong knowledge of deep learning concepts and computer vision - Experience with object detection models such as YOLO and semantic segmentation - Expertise in python programming and strong software engineering practices - Proficiency with version control tools such as git, bash scripting, and automation - Excellent analysis & trouble-shooting skills using a structured documented approach - Excellent communication skills, both written and verbal - Confident, collaborative, self-motivated, determined & energeticHighly Desirable Qualifications- Specialization in one or more of these areas preferred: Transformers, Multi-task learning, Optimization, and Multi-modal models. - Experience designing complex systems with multiple algorithms or modules - Academic publications in top-tier conferences such as CVPR, NeurIPS, ICCV, and ECCV. - Experience with commercially deploying algorithms in robotics, LIDAR, camera systems, or sensor fusion. - Experience developing algorithms for autonomous and/or real-time systems. - Deep knowledge of camera systems. - Automotive industry experience.

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