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
#J-18808-Ljbffr
