4 hours ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Manage production GenAI model pipelines, debug defects, and provide root-cause assessments.
- Build and orchestrate LLM-based workflows with LangChain, prompt engineering, and pipeline design.
- Implement RAG architectures using vector embeddings and vector databases such as Pinecone.
- Develop document ingestion and extraction workflows for PDFs, scans, and forms using AWS Extract and GenAI-based techniques.
- Collaborate with engineering, product, and business stakeholders to define data requirements, evaluation metrics, and success criteria.
- Communicate insights through visualizations, reports, and presentations to technical and non-technical audiences.
- Monitor Generative AI, LLM, data science, and analytics trends and best practices.
- 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 data science, applied machine learning, or GenAI, supported by 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).