- Munich, Bavaria, Germany
- Hybrid
Ensure AI systems run reliably, securely, and at scale, from model deployment to internal tooling.
Compensation
Competitive compensation package including a bonus opportunity
Responsibilities
- Build reliable pipelines for deploying, monitoring, and updating AI and autonomy models in production environments
- Develop observability and evaluation frameworks to track model performance, data drift, and system health
- Automate data ingestion, training workflows, and release processes
- Integrate and develop internal AI tooling that supports engineering, operations, and governance teams
- Document and maintain runbooks to keep AI systems auditable and maintainable
Requirements
- Nice to have: MLOps
- Nice to have: DevOps
- Nice to have: platform engineering
- Nice to have: security compliance
- Nice to have: responsible AI practices