Skill

ML Orchestration

Data Science, Analytics and AI/ML

ML orchestration refers to coordinating and automating the sequence of steps in a machine learning pipeline, including data ingestion, preprocessing, training, evaluation, and deployment. It ensures these steps run in the correct order, handle dependencies, and can be scheduled or triggered reliably at scale. Tools like Kubeflow, Airflow, and Prefect are commonly used by ML engineers to build and manage these orchestrated workflows.

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• MLOps
• Data Pipelines
• Apache Airflow
• Kubeflow