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Strong employer brand and Bangalore metro presence increase competition, but role's senior GenAI specialization limits generalist applicants.
Technical ML skills transfer well, but commercial syndicated datasets and healthcare governance needs increase domain specificity.
Explicit 7–12 years and strict ML/GenAI production, MLOps, and governance requirements raise filtering.
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Own end-to-end lifecycle of production-grade ML and Generative AI systems including model development, scalable cloud deployment (Azure or AWS), and performance monitoring.
Develop and deploy enterprise-grade LLM applications using RAG, MCP, fine-tuning, and implement systematic evaluation and operational readiness controls.
Lead analytics product ownership including dashboards and datasets, ensure data quality and governance, and partner with senior commercial stakeholders to translate data into decision-ready insights and drive measurable business outcomes.
7–12+ years of hands-on Data Science/ML Engineering experience with multiple end-to-end production deployments.
Strong production-quality Python coding skills, solid CS fundamentals, strong SQL skills, and expertise in ML including deep learning frameworks (PyTorch/TensorFlow).
Proven experience in GenAI (RAG, MCP, fine-tuning, embeddings, LLM application patterns) and production deployment on cloud platforms (AWS or Azure).
This is an office role requiring onsite presence at least 3 days a week as per company policy. Education: Bachelor's degree in Engineering, Computer Science, Statistics, Economics, Mathematics or related quantitative field; Master’s preferred.
Demonstrated ownership of entire analytics domains beyond isolated analyses, capable of taking solutions from experimentation to production with robust MLOps practices.
Proven track record in delivering GenAI applications with operational governance, safety controls, and quality evaluation.
Experienced in operating within complex matrixed organizations and influencing senior business stakeholders through insight-led storytelling and decision support.