ML Pipeline Expert provides end-to-end guidance and production-grade code templates for designing machine learning pipeline infrastructure. It covers architecture design, data schema validation, feature engineering, distributed training orchestration, experiment tracking, and model validation and deployment. Use this skill when you need to build MLOps workflows, configure MLflow or Weights & Biases logging, construct Kubeflow or Airflow DAGs, or implement data validation checkpoints.