A person responsible for bridging the gap between model creation and operations by integrating machine learning models into DevOps processes to ensure reliable, scalable, and repeatable model deployment. They build and maintain automated pipelines for model training, testing, versioning, and monitoring, while also addressing performance, security, and compliance considerations throughout the model’s lifecycle.