ROLE
– Reduce false positives to ensure the Reporting Team trusts the model alerts.
– Build “Agentic” workflows where GenAI proactively suggests mapping logic or identifies the root cause of a break, requiring only a “thumbs up/down” from the human SME.
– Hire and mentor a squad of 4-5 junior data scientists/engineers in Mumbai.
– Act as the “AI Evangelist” to the Operations/Finance teams, demonstrating how AI assists them rather than replacing them.

REQUIREMENTS
– Core ML: 8+ years in Data Science/Engineering. Deep experience with Scikit-learn, TensorFlow, or PyTorch.
– The “Validation” Stack: Experience building tools like Streamlit or Gradio for rapid prototyping of human-review interfaces.
– Able to communicate and explain “Hallucination Risk” to a non-technical Chief Risk Officer.

BENEFITS
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