Overview

As an artificial intelligence engineer, you will be responsible for the development of state of the art algorithms enabling Automated Driving Assistance Systems.

Examples of such algorithms include: VRU detection, localization, traffic sign detection, lane detection, park slot detection, object detection and classification scene understanding. 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 recent 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. Qualifications

Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field Essential skills





- 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 Desired skills
- 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. Experience

2 to 5 Yrs

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📌 Automotive - AI Engineer (Chennai)
🏢 Expleo
📍 Chennai