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5.0 - 8.0 years

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pune

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About the Role: The QA Engineer will own quality assurance across the ML lifecyclefrom raw data validation through feature engineering checks, model training/evaluation verification, batch prediction/optimization validation, and end-to-end (E2E) workflow testing. The role is hands-on with Python automation, data profiling, and pipeline test harnesses in Azure ML and Azure DevOps. Success means provably correct data, models, and outputs at production scale and cadence. Key Responsibilities: Test Strategy & Governance Define an ML-specific Test Strategy covering data quality KPIs, feature consistency checks, model acceptance gates (metrics + guardrails), and E2E run acceptance (timeliness, com...

Posted 3 days ago

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