Our client, a growing Mobility Technology company based in Munich, is looking for an ML Systems Engineer to optimise, deploy, and maintain machine-learning models in production environments, with a focus on inference performance, reliability, and efficient resource utilisation.
You’ll work at the intersection of Machine Learning, Software Engineering, and Systems Optimisation, transforming trained models into reliable, high-performance software components for intelligent mobility applications.
Core Skills
- 3+ years in Machine Learning Engineering, ML Systems Engineering, Software Engineering, or a similar role
- Experience working with NVIDIA GPUs
- Experience deploying machine-learning models into production systems
- Understanding of inference optimisation and model performance
- Strong software engineering and debugging skills
Nice to Have
- TensorRT
- ONNX Runtime
- NVIDIA Triton Inference Server
- Computer Vision
- Real-time inference systems
- Embedded Linux
- CMake
- CI/CD for ML systems
- Model profiling and benchmarking
- Experience with automotive, robotics, or intelligent mobility applications
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