MLOps Engineer Job Description

What are the Key Responsibilities of MLOps Engineer

• Design and maintain CI/CD pipelines for machine learning model training and deployment.
• Build and manage feature stores, model registries, and experiment tracking systems.
• Monitor deployed models for performance degradation, data drift, and concept drift.
• Automate model retraining and redeployment workflows.
• Collaborate with data scientists to containerize and productionize ML models.
• Ensure reproducibility, versioning, and governance of ML experiments and artifacts.