Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
About the role
- Senior Data Scientist at LexisNexis developing AI-driven solutions for legal analytics. Collaborating with teams to implement machine learning models and monitor performance metrics.
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.)
Benefits
- 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)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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