Job Title:  Manager | Data Science | Bengaluru | Finance Transformation

The Team

Enterprise technology must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about ET&P

Your Work Profile

• Build advanced AI capabilities that combine LLM orchestration, retrieval, and applied ML. Deliver production-grade services for structured generation (documents/tables/diagrams), extraction/classification, ranking, and analytics—end-to-end from prototype to reliable deployment.

• Implement LLM workflows: prompting, function/tool calling, agentic steps; integrate hybrid RAG queries with grounding verification and citations.

• Develop ML models for classification, extraction, reranking, and light forecasting; evaluate with appropriate metrics.
• Build structured generation (JSON → PPTX/DOCX/PDF/diagrams) and robust APIs for application integration.
• Create evaluation sets and automated checks for quality, grounding, latency, and cost; iterate via telemetry.
• Collaborate with data engineering on indexing strategies, embeddings, and retrieval performance.

Key skills Required

• Bachelor’s or master’s degree or related fields.
• 9+ years of Strong Python (FastAPI, Pydantic, Pandas/Polars); LLM frameworks (LangChain/Semantic Kernel) with function calling and structured outputs.
• Experience with AWS/GCP/Azure model hosting (SageMaker/Vertex AI/Azure ML) and embeddings/vector search.
• Programmatic document generation (python-pptx, python-docx, reportlab) and diagramming (Mermaid/Graphviz).
• Practical ML for extraction/classification, evaluation methodologies, and productionization patterns.