Artificial Intelligence Engineer

4 weeks ago

Chennai Tamil Nadu India, Tamil Nadu 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 development


Minimum 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 & energetic


Highly 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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