12 hours ago
Pune, IndiaMid Level / Senior
Responsibilities
- Manage production pipelines for GenAI models, debug defects, and provide root cause assessments.
- Build and orchestrate LLM-based workflows using LangChain, including prompt engineering and pipeline design.
- Implement Retrieval-Augmented Generation architectures using vector databases such as Pinecone.
- Develop document ingestion and extraction workflows for unstructured documents, including PDFs, scans, and forms, using AWS Extract and GenAI techniques.
- Collaborate with engineering, product, and business stakeholders to define data requirements, evaluation metrics, and success criteria.
- Communicate findings and insights through visualizations, reports, and presentations to technical and non-technical audiences.
- Stay current with trends, tools, and best practices in Generative AI, LLMs, data science, and analytics.
- Mentor junior team members and contribute to technical learning and excellence.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, Mathematics, or a related field.
- 3–6 years of experience in a data science, applied ML, or GenAI role, with a strong project portfolio.
- Hands-on experience with scikit-learn, TensorFlow, and PyTorch.
- Practical experience with LLMs, GenAI frameworks, LangChain, and prompt-driven workflows.
- Strong understanding of RAG patterns, vector embeddings, and vector databases such as Pinecone.
- Knowledge of Agentic AI is preferred.
Tech Stack
Categories
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).