onsite
MLOps Engineer - Landesamt fur Zentrale Polizeiliche Dienste NRW
MLOps Engineer
Lead the design and deployment of scalable machine learning pipelines using Python, Docker, Kubernetes, and AWS. Drive automation, monitoring, and continuous delivery of ML models with CI/CD, MLflow, and Terraform.
About the role
Key Responsibilities
- Design, build, and maintain end‑to‑end ML pipelines from data ingestion to model deployment.
- Containerize models with Docker and orchestrate with Kubernetes for high availability.
- Implement CI/CD workflows for automated testing, packaging, and release of ML artifacts.
- Integrate monitoring, logging, and alerting for model performance and drift.
- Collaborate with data scientists, software engineers, and operations teams to ensure seamless model lifecycle management.
Requirements
- Strong experience with Python, Docker, Kubernetes, and AWS services (EKS, S3, SageMaker).
- Proficiency in CI/CD tools (GitHub Actions, Jenkins, ArgoCD) and infrastructure as code (Terraform).
- Hands‑on knowledge of MLflow or similar model tracking platforms.
- Solid understanding of ML model deployment best practices and security.
- Excellent problem‑solving skills and ability to work in a fast‑paced environment.
Skills
pythondockerkubernetesawscicdmlflowterraform