• 7 to 10 years of experience
• Building and maintaining data pipelines on Databricks (Spark/PySpark, Delta Lake) that feed into ML workflows
• Feature engineering: preparing and maintaining feature tables used for model training and scoring
• Training ML models and registering/versioning them in Unity Catalog (using MLflow, with UC's catalog.schema.model structure and aliases like champion/challenger for promoting models)
• Running and maintaining scoring pipelines that apply registered models to recent data on a schedule
• Monitoring model/data quality over time
- tracking drift, validating scoring output, and flagging issues before they hit production
• Working within Unity Catalog for governance across both data tables and ML models
📌 Data Engineer with MLops (Bengaluru)
🏢 Prophecy Technologies
📍 Bengaluru
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