onsite
Senior MLOps Engineer - Public Sector
MLOps Engineer
Senior MLOps Engineer for public‑sector projects, responsible for building secure, compliant ML pipelines using Airflow, Docker, and Python while ensuring data isolation and adherence to BSI Grundschutz and the EU AI Act.
About the role
Key Responsibilities
- Design, implement, and maintain end‑to‑end MLOps pipelines on Apache Airflow for public‑sector AI solutions.
- Containerize model training and inference workloads with Docker, ensuring reproducibility and scalability.
- Enforce data isolation strategies and security controls in line with BSI Grundschutz standards.
- Validate and document compliance with the EU AI Act throughout the model lifecycle.
- Collaborate with data scientists, security teams, and public‑sector stakeholders to translate requirements into robust, production‑ready solutions.
Requirements
- 5+ years of experience in MLOps or DevOps, with strong hands‑on expertise in Airflow and Docker.
- Proficiency in Python for pipeline orchestration, model packaging, and automation.
- Deep understanding of data isolation techniques and security frameworks such as BSI Grundschutz.
- Knowledge of EU AI Act regulations and ability to embed compliance checks into CI/CD workflows.
- Excellent problem‑solving skills and ability to work cross‑functionally in a public‑sector environment.
Skills
mlopsairflowdockerpython