Senior ML Ops Engineer (m/f/d)

This Senior MLOps Engineer role focuses on supporting the deployment and monitoring of ML and LLM solutions in production. You will build and maintain CI/CD pipelines, optimize LLM deployment for cost and latency, manage cloud infrastructure, and mentor team members on MLOps/LLMOps best practices. This is a remote contract position.

• Develop and maintain CI/CD pipelines for deploying ML and LLM models in production.
• Optimize LLM deployment processes considering cost, latency, and scalability constraints.
• Automate model retraining and redeployment processes.
• Set up and manage cloud and on-premise infrastructure for ML/LLM workloads on AWS, GCP, or Azure.
• Use containerization and orchestration tools (Docker, Kubernetes) for scalable model deployment.
• Implement data versioning and validation processes.
• Use MLflow for experiment tracking, model versioning, and reproducibility.
• Document MLOps/LLMOps practices and mentor team members.

• Experience in MLOps, DevOps, or a related role with hands-on ML/LLM model deployment.
• Proficiency in cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Experience with CI/CD tools (GitHub Actions or Jenkins) and ML workflow tools (MLflow, Kubeflow).