Sr. Data Scientist
LexisNexis · Chennai · onsite · Posted 31d ago
Not disclosed6–8 yrsfulltimeSourced from
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About this role
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
Experience: 6–8 Years
Core Stack
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:
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
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
- LangChain / LlamaIndex (or similar frameworks)
- Scikit-learn / XGBoost / LightGBM
- PyTorch / TensorFlow
- HuggingFace / OpenAI / LLM APIs
- Vector databases (Pinecone, FAISS, Weaviate, OpenSearch, etc.)
- SQL and data querying
- Experience with AWS / Azure / GCP
- CI/CD for ML deployments
- Model tracking tools (MLflow preferred)
- 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
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)
Sourced from foundit
Skills
Prompt Engineeringmodel evaluationmlflowvector searchgoogle cloud platformamazon web servicesXgboostFAISSWeaviateNatural Language ProcessingRAG ArchitectureOpensearchHugging Face TransformersLarge Language Models (LLMs)LightGBMPytorchTensorflowScikit-LearnValidation FrameworksPythonPinecone DBCI CD for ML deploymentsOpenAI LLM APIsSQLMicrosoft AzureLangchainGenerative AiLlamaindexMachine Learning
About LexisNexis

LexisNexis
Legal
375
employees
1970
56 years old
New York
UnitedStates
₹16.4L PA avg
Avg at LexisNexis
About
A global leader in legal and business information services, offering analytics and tools that enhance decision-making and promote the rule of law.
Industries
LegalInternet
Employee ratings
10 reviews
3.9/ 5
Culture
3.9
Career growth
3.3
Work-life
3.9
Employees rate it well for
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