# Senior Data Scientist

> Weekday AI · Mumbai, India · Full-time · Posted 2026-11-04

**Salary:** INR 3,000,000–5,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of Weekday’s clients  
Salary range: Rs 3000000 - Rs 5000000 (ie INR 30 - 50 LPA)**

  
Min Experience: 5+ years  
Location: Mumbai, Maharashtra, India  
JobType: full-time

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.

## Requirements

## Key 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.

## Required Technical Skills

### Generative AI (Mandatory)

-   Large Language Models (LLMs)
-   Retrieval-Augmented Generation (RAG)
-   GraphRAG
-   Prompt Engineering
-   AI Agents and Agentic Workflows
-   LLM Fine-Tuning using LoRA and PEFT
-   Embeddings and Vector Search
-   Multimodal AI Applications

### Frameworks and Tools (Mandatory)

-   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.

### Machine Learning (Mandatory)

-   Strong understanding of classification and regression models.
-   Ability to apply Machine Learning concepts to predictive and generative AI use cases.
-   Experience working with structured and unstructured data.

## Must-Have Skills

-   Generative AI
-   Large Language Models (LLMs)
-   Retrieval-Augmented Generation (RAG)

## Good-to-Have Skills

-   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.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/47DC7A58CB/apply)

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