MLOps Engineer

MLOps Engineers build and maintain the infrastructure, pipelines, and operational practices that enable reliable deployment and monitoring of machine learning models in production. They design CI/CD pipelines for model training and deployment, implement model registries, feature stores, and monitoring dashboards, and manage compute infrastructure on cloud platforms. LinkedIn consistently ranks MLOps Engineer as one of the fastest-growing roles, with median compensation between $125,000 and $155,000.