Data Scientist – Advanced Analytics

Experience Required: 6+ years total (2+ years relevant in RAG / LLM-based systems)

Location: Open / Any Location (India)

Compensation: ₹13 – ₹15 LPA

Employment Type: Full-time

Role Overview:

We are looking for an experienced Data Scientist – Advanced Analytics with strong expertise in Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. The ideal candidate will be responsible for designing, building, and optimizing intelligent retrieval systems that combine LLM reasoning with real-time document understanding

Key Responsibilities:
- Design and implement Retrieval-Augmented Generation (RAG) pipelines and architectures.
- Develop document retrieval, contextual augmentation, and chunking strategies for large-scale unstructured data.
- Optimize RAG indexing, retrieval accuracy, and context relevance using advanced evaluation metrics.
- Implement fine-tuning and prompt engineering techniques to improve retrieval and generation quality.
- Manage token limits, context windows,



and retrieval latency for high-performance inference.
- Integrate LLM frameworks like LangChain or LlamaIndex for pipeline orchestration.
- Utilize APIs from OpenAI, Hugging Face Transformers, or other LLM providers for model integration.
- Perform noise reduction, diversity sampling, and retrieval optimization to enhance output reliability.
- Collaborate with cross-functional teams to deploy scalable RAG-based analytics solutions.

Requirements
Programming: Strong hands-on experience with Python.

â RAG Expertise: In-depth understanding of RAG pipelines, RAG architecture, and retrieval optimization.

â Vector Databases: Practical experience with FAISS, Pinecone, Weaviate, ChromaDB, or Milvus.

â Embedding Models: Knowledge of generating and fine-tuning embeddings for semantic search and document retrieval.

â LLM Tools: Experience with LangChain, LlamaIndex, OpenAI API, and Hugging Face Transformers.

â Optimization: Solid

📌 Data Scientist – Advanced Analytics (Bengaluru)
🏢 N Human Resources & Management Systems
📍 Bengaluru