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Mid-level Data Scientist in Mumbai with a common title and metro location drives high applicant competition.
Requires specialized enterprise AI governance and Microsoft Fabric skills, moderately limiting cross-industry portability.
Explicit 5+ years requirement plus production ML and Microsoft Fabric/MLflow experience make filters high.
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Design and deploy machine learning and generative AI models for forecasting, classification, anomaly detection, and other enterprise use cases using Microsoft Fabric and Foundry.
Lead experiment design, rigorous evaluation, and translate insights into measurable business improvements while ensuring compliance with governance and responsible AI standards.
Develop reusable analytical assets and collaborate with cross-functional teams to embed AI solutions into enterprise applications and agents.
5 to 7+ years of professional experience in data science, ML, advanced analytics, or related fields within enterprise or product environments.
Hands-on experience with Microsoft Fabric, MLflow, and Azure-native AI tools including Microsoft Foundry for model lifecycle management.
Proven track record of delivering production-grade analytical or ML solutions that drive measurable business outcomes.
Experience or familiarity with regulated, governance-heavy environments and responsible AI practices.
Experienced in applying statistical and predictive modeling techniques within large, regulated enterprise settings.
Skilled in integrating data science outputs into AI applications, agents, or copilots with close collaboration across data engineering, architecture, and product teams.
Proficient operating within structured governance and compliance frameworks ensuring privacy, lineage, and responsible AI principles in model development.