Job Description
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:
We are seeking a Technical Data Scientist / AI Engineer with 4–5 years of commercial experience blending traditional data science with cutting-edge artificial intelligence. You are an autonomous developer who writes production-grade Python, possesses deep foundations in Machine Learning (ML) and Deep Learning (DL), and has hands-on experience building generative workflows like Retrieval-Augmented Generation (RAG) and autonomous AI Agents. You will be responsible for bringing models out of notebooks and into robust, scalable software environments.
Responsibilities
ML/DL System Development: Design, train, and optimize custom machine learning algorithms and deep neural networks (Transformers, CNNs, or RNNs) to solve complex business predictive problems.
GenAI & Agent Design: Build and orchestrate production-level autonomous AI Agents and Multi-Agent structures using Python frameworks (e.g., LangGraph, CrewAI, AutoGen).
Advanced RAG Pipelines: Architect high-throughput RAG systems, managing the complete pipeline across semantic chunking, multi-stage retrieval, embedding generation, reranking, and vector store integration.
Python Engineering: Write clean, modular, and performance-optimized Python code. Enforce high standard-engineering practices including unit testing, Git version control, and CI/CD alignment.
Cloud & Infrastructure Alignment: Assist in porting localized AI and ML workflows into cloud environments, ensuring proper resource allocation for heavy training and inference workloads.
Requirements
Experience: 3 to 4 years of professional, hands-on experience working as a Data Scientist, ML Engineer, or AI Developer in a production software environment.
Core Toolkit: Proven track record building applications using Python and foundational libraries such as scikit-learn, PyTorch, or TensorFlow.
Generative AI Stack: Direct experience manipulating LLMs, implementing vector databases (e.g., Pinecone, Qdrant, Milvus, Chroma), and tuning systemic prompt graphs.
Data Engineering Foundations: Proficient in writing optimized SQL, data cleaning, and structuring pipelines utilizing pandas or NumPy.
AWS Knowledge (Good to Have): Experience building, testing, or serving models using cloud-native platforms like Amazon SageMaker AI or orchestrating managed endpoints via Amazon Bedrock.
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.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
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.
USA Job Seekers:
EEO Know Your Rights.
Skills Required
- 3 to 4 years of professional experience as a Data Scientist, ML Engineer, or AI Developer in production
- Production-grade Python development
- Experience with core ML libraries: scikit-learn, PyTorch, or TensorFlow
- Experience designing and training DL models (Transformers, CNNs, RNNs)
- Hands-on experience with generative AI, manipulating LLMs and tuning prompt/agent graphs
- Experience building RAG systems, including semantic chunking, retrieval, embeddings, reranking, and vector store integration
- Familiarity with vector databases (Pinecone, Qdrant, Milvus, Chroma)
- Strong SQL skills and data pipeline work using pandas or NumPy
- Software engineering best practices: unit testing, Git version control, CI/CD alignment
- Experience with cloud model serving/orchestration (Amazon SageMaker, Amazon Bedrock) or willingness to port workflows to cloud
- Experience building autonomous AI Agents and multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
-
Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
-
Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
-
Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
.jpg)
