Machine Learning
MlOps
Operationalize ML models with CI/CD, monitoring, and governance.
MLOps engineers operationalize machine learning at scale. They build and maintain CI/CD for models, feature pipelines, experiment tracking, and model registries; implement monitoring, drift detection, and retraining workflows; and ensure governance and compliance. By applying DevOps practices to the ML lifecycle, our MLOps specialists help you ship models faster and keep them accurate and reliable in production.