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 settings
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)

Valuable 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.)

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Data Scientist Chennai
🏢 Elsevier
📍 Chennai