Ai Ml EngineerAI/ML Engineer
Location - Pune, Hyderabad, Bengaluru, Indore
JD-
- Hands-on experience with anomaly detection techniques to identify inaccuracies, coverage gaps, and outliers in datasets.
- -Strong experience with machine learning algorithms including classification, regression, and clustering for quality analytics and trend analysis.
- Proficient in Python with scikit-learn, pandas, numpy for feature engineering and model development.
- Experience building explainable and interpretable ML models for audits, compliance, and RCA workflows.
- Familiarity with Microsoft Fabric Lakehouse/Warehouse and Power BI semantic models.
- Experience in Power Platform Copilot Studio and Copilot-style AI-assisted workflows.
- Experience working in compliance-driven, audit-ready enterprise environments.
- Familiarity with Microsoft AI ecosystem (Copilot Studio, Azure AI Foundry, Fabric Copilot, Power Platform AI capabilities) in an advantage.

Keyskills: Explainable AI Anomaly Machine Learning ML Libraries Python
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