About our Team:
LexisNexis Legal & Skilled, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.
About The Role:
The Sr. Data Scientist to work on complex project involving AI, GenAI, RAG and Agentic Solution for the business delivery projects

Responsibilities
Design, develop, and deploy machine learning and GenAI solutions in production environments
Build and optimize Retrieval-Augmented Generation (RAG) pipelines
Fine-tune and evaluate Large Language Models (LLMs)
Develop prompt engineering strategies and evaluation frameworks




Implement scalable ML pipelines using Python
Work with structured and unstructured data sources
Collaborate with Engineering, Product, and SMEs to deliver AI-driven features
Monitor model performance, drift, and reliability in production
Conduct experimentation, A/B testing, and performance benchmarking
Contribute to architecture design for AI-powered systems
Requirements
Experience: 6–8 Years
Core Stack
Python (advanced proficiency)
Machine Learning (supervised/unsupervised learning, NLP)
Generative AI (LLMs, prompt engineering, embeddings)
RAG architecture and vector search
Model evaluation and validation frameworks
ML & AI Tools
LangChain / LlamaIndex (or similar frameworks)
Scikit-learn / XGBoost / LightGBM
PyTorch / TensorFlow
HuggingFace / OpenAI / LLM APIs
Vector databases (Pinecone, FAISS, Weaviate, OpenSearch, etc.)
Data & Infrastructure
SQL and data querying
Experience with AWS / Azure / GCP
CI/CD f

📌 Senior Data Scientist I (Chennai)
🏢 Relx
📍 Chennai