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Associate Consultant

Key Responsibilities: - GenAI Strategy: Identify, blueprint, and execute Large Language Model (LLM) use cases like automated credit appraisal memo (CAM) generation, multi-source financial analysis, and AI-powered operational risk loss incident tagging. - Horizontal Execution: Act as the AI consultant for all 7 risk verticals, with an immediate focus on Retail Credit (automated underwriting, early warnings) and Operational Risk (anomaly detection, control testing automation). - Team Leadership: Manage and mentor a team of Risk Data Engineers and elite IIT freshers, bridging academic AI knowledge with practical banking applications. - Pipeline Collaboration: Work closely with the Risk Data Management infrastructure to ingest, clean, and structure unstructured bank data for LLM fine-tuning and Retrieval-Augmented Generation (RAG) pipelines. - RBI Compliance & Safety: Mitigate risks specific to GenAI, including hallucination management, data privacy (PII masking), model bias, and alignment with Reserve Bank of India (RBI) AI governance norms. Total Experience: 12 - 15 years Qualification Criteria: Education: - Required: B.Tech / B.E. / Dual Degree from a Tier-1 engineering college (IITs, IISc, NITs, BITS) in Computer Science, Data Science, Quantitative Economics, or a related field. - Preferred: Certifications in Deep Learning/NLP or professional risk credentials (FRM/CFA) are a strong plus. Professional Experience: - GenAI/LLM Focus: Minimum 2+ years of hands-on experience building, fine-tuning, or deploying LLM frameworks (e.g., using LangChain, LlamaIndex, vector databases) in a corporate environment. - Domain Expertise: Strong exposure to financial services, preferably with a deep conceptual grasp of Retail Credit underwriting or Operational Risk frameworks. - People Management: Prior experience managing young, highly analytical engineering talent (like IIT/NIT grads) and aligning them with business goals. Tech Stack Competency: - GenAI Ecosystem: Python, PyTorch, Hugging Face, OpenAI API/Open-Source LLMs (Llama, Mistral), Vector DBs (Pinecone, Chroma, Milvus). - Data Engineering: SQL, Spark, cloud data warehouses (Snowflake, Databricks), and orchestration tools.

Mumbai

Lead - Generative AI - Risk Data Management - IIM/ISB/MDI/FMS 

Job Description for Lead - Generative AI - Risk Data Management - IIM/ISB/MDI/FMS  in Kairos Consulting in  Mumbai for (12-15) years of experience. Apply Now!