Focuses on deploying models into production systems - Primary tools: Python, Docker, Kubernetes, ML frameworks (TensorFlow, PyTorch) - Outputs: production-grade ML services, APIs - Typical question: "How do we serve this recommendation model to 10 million users with 50ms response time?"