Glossary

Quarter 1-2: Level 0 to Level 1

Deploy MLflow for experiment tracking and model registry - Build automated training pipeline (Airflow) for the churn model - Implement comprehensive monitoring (data quality, prediction distribution, business metrics) - Establish data contracts with upstream data engineering teams - Hire second ML e

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