Engineer - Deep Learning/AIML
Mercedes-Benz Group AG (company site, opens in a new tab)1–2 yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own the end-to-end design and implementation of perception algorithms in AI production stack for next-gen vehicle safety and decision-making systems.
- Research and benchmark state-of-the-art perception algorithms to create novel, compute-efficient solutions robust to diverse real-world conditions.
- Collaborate globally to ensure robust, scalable AI algorithms with thorough debugging, root cause analysis, and compliance to AI process standards like EU AI Act and ASPICE ML Process.
Minimum Requirements
- Bachelor's or Master's degree in Computer Vision, Computer Science, or related fields.
- 1-2 years of experience developing production-grade computer vision algorithms in real production scenarios.
- Strong proficiency in Python and libraries such as OpenCV, SciPy, PyTorch; understanding of SOTA CNNs and ML/DL model training.
- Experience with camera ISP pipelines and knowledge of AI process standards (e.g., EU AI Act, ASPICE ML Process).
Ideal Candidate Profile
- Experience delivering production-grade perception algorithms in automotive domain with diverse camera modalities (RGB, NIR, FIR, Depth).
- Demonstrated ability in optimizing ML models for runtime performance on edge or embedded systems.
- Research contribution evidenced by publications in top-tier conferences/journals (e.g., CVPR, ICCV) or patents in automotive AI algorithms.