ML Systems Engineer

XpertDirect; München; On-site; EUR 70,000 - 110,000; Full time

Job summary

XpertDirect is seeking an ML Systems Engineer in Munich to optimise, deploy, and maintain machine-learning models in production for mobility applications.

You will work at the intersection of ML, software engineering, and systems optimisation to transform trained models into high-performance software components with efficient resource use.

Qualifications

• 3+ years in ML/Systems Eng or similar role.
• Experience with deployment of ML models to production.
• Strong software engineering and debugging skills.

Responsibilities

• Optimise and deploy ML models in production environments.
• Improve inference performance and resource utilisation.
• Maintain reliable production ML systems for mobility apps.

Skills

ML engineer

NVIDIA GPUs

Production deployment

Inference optimization

Software debugging

Tools

TensorRT

ONNX Runtime

NVIDIA Triton

CI/CD for ML

Job description

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