Data Scientist

SRS Infoway; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

SRS Infoway is seeking a seasoned Python Data Science Engineer with deep expertise in NLP, GenAI, and agentic AI solutions. You will design end-to-end ML/DL workflows, from data exploration to deployment, and build scalable REST APIs to expose LLM capabilities.

Ideal candidates have 7–10 years in ML/DL, PhD welcomed, and hands-on experience with LangChain, LangGraph, MCP, and vector databases like Pinecone, FAISS, Chroma, Weaviate, Milvus. Strong prompt engineering skills are a must.

Qualifications

• Proven experience in ML/DL end-to-end deployment.
• Strong Python data science and NLP skills.
• Experience with RAG and vector databases.

Responsibilities

• Develop data-driven AI/ML solutions addressing business challenges.
• Build GenAI-based solutions using LLMs, RAG, vectors, and agentic frameworks.
• Create scalable REST APIs and integrate embeddings and semantic search.

Skills

Python

Data Science

NLP

Generative AI

LangChain

LangGraph

MCP Protocol

Vector DBs

Pinecone

FAISS

Chroma

Weaviate

Milvus

REST APIs

FastAPI

Flask

Embeddings

Semantic search

Prompt engineering

ML Ops

GCP

Azure

LLM integration

Tools

FastAPI

Flask

Job description

• 1. At least 7 to 10 years of proven experience in developing and deploying Machine learning and Deep learning solutions end-to-end (data exploration to deployment). Will consider even 5+ years if candidate has a Ph.D. from relevant areas.
• 2. Seeking a highly skilled Python Data Science Engineer with expertise in NLP, Generative AI, and Agentic AI solutions. Strong experience in building RAG RetrievalAugmented Generation applications using LangChain, LangGraph, MCP Model Context Protocol, and Vector Databases Pinecone, FAISS, Chroma, Weaviate, Milvus. Handson experience in developing and deploying scalable REST APIs using FastAPIFlask, integrating LLMs, embeddings, and semantic search capabilities. Proficient in prompt engineering,
• 3. Develop data-driven solutions to address business challenges using appropriate techniques (AI, ML, DL, GenAI etc.)
• 4. Experience in building GenAI based solutions using LLM, SML, RAG, VectorDBs, and agentic frameworks.
• 5. Advanced skills in Machine Learning / AI & Deep Learning (preferred)
• AI, GenAI, Agentic AI, Fast API, ML Ops, GCP, Lang Graph, Lang Chain,Python MCP,, Azure, ML ops, LLM, RAG