onsite
MLOps Engineer - Landesamt fur Zentrale Polizeiliche Dienste
MLOps Engineer
Lead the design, deployment, and maintenance of scalable machine‑learning pipelines using Python, Docker, Kubernetes, and AWS, while ensuring robust CI/CD workflows and infrastructure as code with Terraform.
About the role
Key Responsibilities
- Design, build, and maintain end‑to‑end ML pipelines from data ingestion to model serving.
- Containerize models with Docker and orchestrate deployments on Kubernetes clusters.
- Implement CI/CD pipelines for automated testing, model validation, and continuous delivery.
- Manage cloud infrastructure (AWS) and automate provisioning with Terraform.
- Collaborate with data scientists, software engineers, and security teams to ensure compliance and performance.
Requirements
- Proven experience in MLOps with Python, Docker, and Kubernetes.
- Strong knowledge of CI/CD tools (GitLab CI, Jenkins, ArgoCD) and cloud services (AWS).
- Hands‑on experience with infrastructure as code (Terraform, CloudFormation).
- Solid understanding of ML model lifecycle, monitoring, and governance.
- Excellent problem‑solving skills and ability to work in a cross‑functional team.
Skills
pythonmachine learningdockerkubernetescicdawsterraform