Senior Machine Learning Ops Engineer | Senior Machine Learning Ops Engineer (w/m/d)
BWI GmbH
Job Summary
This Senior Machine Learning Ops Engineer role is critical for the digital future of the German Federal Armed Forces (Bundeswehr), focusing on the strategic renewal of the IT service portfolio. The successful candidate will join the Technology Engineering (AI) team to develop and operate the technical AI service, applying a holistic DevSecOps approach across the entire technology stack. Day-to-day responsibilities include designing and implementing CI/CD pipelines for ML model training, validation, and deployment, managing the Model Registry for versioning, and implementing experiment tracking tools (like MLflow). The role requires deep expertise in Kubernetes, MLOps frameworks (Kubeflow, TFX), API design (REST, GraphQL), and strong scripting skills in Python, Ruby, Bash, or YAML. This position offers a chance to contribute significantly to Germany's security by modernizing one of the country's largest and most complex IT infrastructures.
Required Skills
Education
Master's degree in Computer Science, Mathematics, or comparable field
Experience
- At least 5 years of relevant professional experience after graduation is mandatory
- Experience with CI/CD tools (GitLab CI, Jenkins, ArgoCD) and adaptation for ML workflows
- Experience with Kubernetes and MLOps frameworks
- Experience with API design
- Experience with Monitoring Tools
Languages
Additional
- Contribution to the security and digitalization of the German Federal Armed Forces (Bundeswehr) IT infrastructure is a core focus.
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