About our Team:
LexisNexis Legal & Professional, 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 for ML deployments
Model tracking tools (MLflow preferred)
Good to Have
Experience in legal, regulatory, or publishing domains
Experience with model monitoring and MLOps
Knowledge of fine-tuning techniques (LoRA, PEFT, QLoRA)
Experience with multi-agent frameworks (AutoGen, LangGraph, etc.){Empty}
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Comprehensive Health Insurance: Covers you, your immediate family, and parents.
Enhanced Health Insurance Options: Competitive rates negotiated by the company.
Group Life Insurance: Ensuring financial security for your loved ones.
Group Accident Insurance: Extra protection for accidental death and permanent disablement.
Flexible Working Arrangement: Achieve a harmonious work-life balance.
Employee Assistance Program: Access support for personal and work-related challenges.
Medical Screening: Your well-being is a top priority.
Modern Family Benefits: Maternity, paternity, and adoption support.
Long-Service Awards: Recognizing dedication and commitment.
New Baby Gift: Celebrating the joy of parenthood.
Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
Free Transport pick up and drop from the home -office - home (applies in Chennai)
About the business:
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.


We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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