Senior Consultant | Data Science | Bengaluru | Finance Transformation
Deloitte (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and take production-grade AI capabilities from prototype to deployment, spanning LLM workflows, applied ML, document generation, extraction, classification, ranking and analytics.
- Implement grounded hybrid RAG and tool-calling workflows, with APIs and structured outputs that integrate into applications.
- Own evaluation and iteration using automated checks and telemetry for quality, grounding, latency and cost; work with data engineering on indexing and retrieval performance.
Minimum Requirements
- Work Experience Required: 6+ years, with strong Python experience.
- Bachelor’s or master’s degree in a related field.
- Required technical experience includes FastAPI, Pydantic, Pandas or Polars; LLM frameworks such as LangChain or Semantic Kernel; function calling and structured outputs; and embeddings/vector search.
- Experience with AWS, GCP or Azure model hosting, document/diagram generation tools, practical ML for extraction or classification, evaluation methods and productionization.
Ideal Candidate Profile
- Has taken LLM and applied-ML solutions beyond prototypes into reliable services, including APIs and structured document outputs.
- Can combine retrieval, grounding verification and evaluation with practical ML, and improve quality, latency and cost through telemetry.
- Fits work focused on enterprise technology and finance transformation; specific finance-domain experience is not explicitly mentioned in the JD.