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Tier-1 bank, mid-level Data Scientist in Bangalore with broad GenAI/ML requirements creates high applicant competition.
Core ML/GenAI skills transfer across industries, but banking governance and production deployment expectations increase domain sensitivity.
Explicit 5+ years requirement plus mandatory GenAI, ML production and deployment skills narrows candidate pool.
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Build, test, deploy and monitor Generative AI, agentic AI, and machine learning models to solve defined business problems within the Chief Operations Office.
Collaborate within a cross-functional squad to develop responsible AI solutions including prompt engineering, data preparation, model evaluation, and production support.
Continuously apply emerging AI techniques and support business teams to improve customer and colleague experiences through AI capabilities.
5+ years of proven experience in data science or related fields.
Bachelor’s or Master’s degree in Engineering in Computer Science/Information Technology.
Experience with Generative AI techniques including prompt engineering and Retrieval-Augmented Generation (RAG).
Proficiency in data science tools such as Python, SQL, Spark; familiarity with version control (GitHub), CI/CD, and cloud platforms (AWS or Azure).
Experienced in collaborative, cross-functional environments integrating engineering and data science practices.
Demonstrates practical applied learning in AI, capable of explaining complex AI/ML concepts to technical and non-technical stakeholders.
Familiar with responsible AI frameworks, governance standards and production-level deployment of AI components.