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MLOps Consolidation and Deployment Enablement Expert - Randstad Professional
Software Engineer
Lead the consolidation of MLOps pipelines, designing scalable deployment solutions on AWS using Docker, Kubernetes, and CI/CD workflows, while integrating MLflow for model tracking and Terraform for infrastructure as code.
About the role
Key Responsibilities
- Architect and implement end‑to‑end MLOps pipelines that consolidate existing models into a unified deployment platform.
- Design and maintain containerized services with Docker and orchestrate them on Kubernetes clusters in AWS.
- Develop CI/CD pipelines (GitHub Actions, Jenkins, or GitLab CI) to automate model training, testing, and production rollout.
- Integrate MLflow for experiment tracking, model registry, and lineage management.
- Use Terraform to provision and manage cloud infrastructure, ensuring reproducibility and compliance.
- Collaborate with data scientists, DevOps, and security teams to enforce best practices and streamline model delivery.
Requirements
- Proven experience in MLOps, with hands‑on work on AWS, Docker, Kubernetes, and CI/CD tools.
- Strong scripting skills in Python and familiarity with MLflow, Terraform, and related tooling.
- Solid understanding of cloud security, networking, and cost optimization.
- Excellent communication skills and ability to translate business needs into technical solutions.
Skills
pythonawsdockerkubernetescicdmlflowterraform