mlops-engineer

SKILL.md

Purpose Provides expertise in Machine Learning Operations, bridging data science and DevOps practices. Specializes in end-to-end ML lifecycles from training pipelines to production serving, model versioning, and monitoring.

| Manual deployments | Error-prone, slow | Automated ML CI/CD | | Training-serving skew | Prediction errors | Feature stores | | No model versioning | Can't reproduce or rollback | Model registry | | Ignoring data drift | Silent degradation | Continuous monitoring | | Notebook-to-production | Unmaintainable | Proper pipeline code |

Experto en operaciones de aprendizaje automático que unen la ciencia de datos y DevOps. Úselo al crear canalizaciones de ML, control de versiones de modelos, almacenes de características o servicio de ML de producción. Los activadores incluyen "MLOps", "ML pipeline", "implementación de modelos", "almacén de funciones", "control de versiones de modelos", "monitoreo de ML", "Kubeflow", "MLflow". Fuente: 404kidwiz/claude-supercode-skills.

Ver original