Senior Data Scientist

Weekday AI

Mumbai, India
Senior Level
Posted 4 Nov 2026

Skills

Required

Generative AI
Python
LangChain
LangGraph
Neo4j
graph databases
vector databases
Pinecone
ChromaDB
PgVector
classification and regression models

Preferred

Machine Learning
Retrieval-Augmented Generation RAG
predictive and generative AI use cases
AutoGen / CrewAI / Semantic Kernel
multi-agent architectures
Agentic AI workflows
LLM
RAG
GraphRAG
LLM-powered

We are looking for a Senior Data Scientist with strong expertise in Generative AI, Large Language Models (LLMs), and Machine Learning to design, develop, and deploy production-grade AI solutions. The ideal candidate will have hands-on experience building LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, GraphRAG architectures, and intelligent AI agents. This role involves developing scalable AI applications, fine-tuning models, and translating complex business requirements into practical AI-driven solutions.

Responsibilities

Design, build, and deploy production-ready Artificial Intelligence and Machine Learning solutions.
Develop and optimize LLM-powered applications using RAG, GraphRAG, Agentic AI, and multimodal AI technologies.
Fine-tune and customize Large Language Models using LoRA, PEFT, transfer learning, and other relevant techniques.
Build intelligent chatbots, search engines, recommendation systems, and knowledge retrieval applications.
Design and optimize prompt engineering frameworks for business-specific use cases.
Develop scalable AI pipelines, model-serving frameworks, and API-based AI services.
Work with structured and unstructured datasets to build predictive and generative AI solutions.
Collaborate with Product, Engineering, and Business teams to translate business challenges into AI-driven applications.
Evaluate emerging AI models, technologies, frameworks, and tools, recommending their adoption where relevant.
Ensure deployed AI solutions are scalable, reliable, secure, and production-ready.
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
GraphRAG
AI Agents and Agentic Workflows
LLM Fine-Tuning using LoRA and PEFT
Embeddings and Vector Search
Multimodal AI Applications

Requirements

Prompt Engineering

Strong programming skills in Python.
Hands-on experience with LangChain and LangGraph.
Experience with Neo4j and graph databases.
Familiarity with vector databases such as Pinecone, ChromaDB, Weaviate, PgVector, or equivalent technologies.
Strong understanding of classification and regression models.
Generative AI

Preferred

Ability to apply Machine Learning concepts to predictive and generative AI use cases.
Experience working with structured and unstructured data.
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Model Context Protocol (MCP)

Google Agent Development Kit (ADK)

Experience with AutoGen, CrewAI, or Semantic Kernel.
Knowledge of multi-agent architectures and advanced Agentic AI workflows.

Pay

Salary: INR 3,000,000–5,000,000

Salary range: Rs 3000000 - Rs 5000000 (ie INR 30 - 50 LPA)
Min Experience: 5+ years
Location: Mumbai, Maharashtra, India