2 days ago
Backnang, Germany or Stuttgart, GermanySenior
Responsibilities
- Build and evolve an MLOps platform using tools such as Kubernetes, MLflow, and GitLab.
- Develop reliable training, evaluation, and deployment pipelines for multi-cloud environments and isolated internal clusters.
- Integrate, assess, and deploy internally developed or open-source ML models into end-to-end autonomy stacks.
- Ensure reproducibility and traceability across the model lifecycle through data and model versioning, experiment tracking, and model registries.
- Develop systematic model evaluation and testing environments with DevOps and simulation teams.
- Support model optimization and inference-performance improvements for target hardware.
- Collaborate with ML developers, software and systems engineering, infrastructure operations, and simulation teams to bring ML into production.
Requirements
- Completed STEM degree, such as computer science, mathematics, electrical engineering, aerospace engineering, or artificial intelligence.
- Professional experience in MLOps or ML Engineering with models and platforms used in production systems.
- Practical understanding of model training, evaluation, and improvement, including experience with PyTorch and formats such as ONNX.
- Very strong Python skills; C++ knowledge is desirable.
- Experience with Kubernetes, CI/CD, and MLOps tools such as GitLab, Kubeflow, MLflow, KServe, and artifact registries.
- Experience with at least one of the following is desirable: edge-inference optimization, TensorRT, quantization, hardware-in-the-loop environments, simulation and synthetic data, or distributed training on GPU clusters.
- Strong systems thinking, clear communication, teamwork, and willingness to help shape a developing platform.
- Fluent German and English skills.
Benefits
- Permanent, full-time employment at Airbus Defence and Space.
- Attractive salary and flexible working hours.
- Professional development opportunities within the Airbus Group.
- Hybrid working model with up to 40% mobile work.
- Opportunity to work on autonomous systems and European technological sovereignty in a start-up-style environment backed by an established aerospace company.