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: Tra
📌 Automotive - AI Engineer (India)
🏢 Expleo
📍 India
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