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ml-pipeline

skilltested · static-verifiedscore 54/100signed passport ✓3,756 uses

Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploy

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ml-pipeline

skill:jeffallan/claude-skills/ml-pipeline · published by jeffallan · source repository