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Tier-1 brand, generalist senior ML title, metro location, and broad ML/AI skill requirements.
Requires BFSI domain knowledge plus MLOps and cloud AI experience, reducing easy cross-industry transferability.
Explicit 8+ years, mandatory ML/AI stack, cloud, MLOps and BFSI domain knowledge increase filter strictness.
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Own end-to-end development and production of data-driven analytics and machine learning solutions.
Mentor and guide junior data scientists in technical skills and project execution.
Solve diverse business problems within Banking, Financial Services, and Insurance domains using advanced AI/ML techniques including generative AI and NLP.
8-10+ years of relevant work experience in data science or related fields.
Bachelor's degree in Computer Science, Information Technology or equivalent.
Proficiency in Python, machine learning frameworks (Scikit-learn, Tensorflow, Pytorch), NLP tools (spacy, Transformers, OCR), and generative AI technologies (Large Language Models, prompt engineering).
Experience with Azure ML, cloud AI/ML services, and ML Ops; domain knowledge in Banking, Financial Services, and Insurance is mandatory.
Experienced individual contributor with strong mentoring capabilities within data science teams.
Expertise in applying machine learning and AI frameworks to real-world BFSI business problems.
Ability to engage effectively with partners and stakeholders using storytelling and structured problem-solving approaches.