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 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)

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