AI/ML Subject Matter Expert Data Analytics (Chennai)

AI/ML Subject Matter Expert Data Analytics & GenAI Role Overview We are seeking a highly experienced AI/ML Subject Matter Expert with robust Data Analytics and GenAI implementation expertise. The role requires a hands-on individual contributor who can design, build, and operationalize scalable analytics solutions, KPI computation frameworks, data validation pipelines, machine learning models, and governed GenAI capabilities over enterprise data. The ideal candidate will bring deep expertise in Python, SQL, analytics engineering, machine learning, and Retrieval-Augmented Generation, and Agentic AI frameworks. They should be comfortable working with complex business metrics, enterprise data sources, and open-source LLM technologies to deliver reliable, explainable, and production-ready analytical solutions. Key Responsibilities Analytics Engineering & KPI Development The SME will design, develop, and maintain robust analytics code using Python, pandas, and NumPy to compute, validate, reconcile, and operationalize key business metrics including costing, margins, QBR metrics, and operational performance indicators. Responsibilities will include building efficient data transformations, optimising performance through vectorization and memory management, and implementing repeatable data pipelines with appropriate testing, logging, validation, and reconciliation controls. SQL & Data Extraction The SME will develop advanced SQL queries to extract, transform, and shape data from enterprise systems and cloud data warehouse platforms. This includes complex joins, aggregations, window functions, query optimization, and support for governed metric definitions. Generative AI / Ask-the-Data Prototype The SME will implement a governed GenAI prototype that enables users to ask questions over structured and semi-structured enterprise data. Using Llama-family or comparable open-source models through Ollama, llama.cpp, vLLM, or similar inference frameworks. Building Retr .