Senior Data Scientist I
LexisNexis is seeking a Senior Data Scientist to design and deploy production-grade Generative AI and RAG solutions for the legal industry. The role involves optimizing LLM pipelines, prompt engineering, and building scalable ML infrastructure. You will work across the full development lifecycle, collaborating with engineering and product teams to integrate AI-driven features. This position requires deep expertise in Python, LLM frameworks, and cloud-based ML deployment.
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Experience
6-8 years
Function
Research
Work mode
Hybrid, India
Company
Tier 2
What you will work on
LexisNexis is seeking a Senior Data Scientist to design and deploy production-grade Generative AI and RAG solutions for the legal industry. The role involves optimizing LLM pipelines, prompt engineering, and building scalable ML infrastructure. You will work across the full development lifecycle, collaborating with engineering and product teams to integrate AI-driven features. This position requires deep expertise in Python, LLM frameworks, and cloud-based ML deployment.
TAL's take
Solid tier-2 global company with a very clearly defined, high-impact role in generative AI and RAG systems.
Crisp JD with well-defined core responsibilities, specific technology stack requirements, and clear project focus.
Salaries at LexisNexis
21.5 LPA average
Based on 1 Grapevine salary entries for LexisNexis.
Other roles
6 - 8 years | Senior Software Engineer
21 LPA average
Range: 21 - 21 LPA
Must haves
- 6-8 years of experience
- Advanced Python proficiency
- Experience with ML/NLP and GenAI
- RAG architecture and vector search implementation
- SQL and data querying skills
- Experience with cloud platforms like AWS, Azure, or GCP
Tools and skills
Nice to have: mlops, lora, peft, qlora, autogen, langgraph, mlflow.
About the company
Established global professional information services company, but lacks the specific 'tech-first' engine brand of top-tier silicon valley or local unicorns.