An MLOps Engineer bridges machine learning and DevOps. They build infrastructure for training. deploying, monitoring, and retraining models in production. Their responsibilities include managing CI/CD pipelines for ML, tracking experiments, monitoring model drift, and ensuring scalability and reliability of machine learning platforms.
