ML Pipeline Automation Orchestrate end-to-end machine learning workflows from data ingestion to production deployment with production-tested Airflow, Kubeflow, and MLflow patterns. When to Use This Skill Load this skill when: - Building ML Pipelines : Orchestrating data → train → deploy workflows - Scheduling Retraining : Setting up automated model retraining schedules - Experiment Tracking : Tracking experiments, parameters, metrics across runs - MLOps Implementation : Building reproducible, monitored ML infrastructure - Workflow Orchestration : Managing complex multi-step ML workflows - Mod…