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Senior Data Scientist

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Design, build and deploy production-ready AI and ML solutions

  • Develop LLM-powered applications using RAG, GraphRAG and agentic AI

  • Fine-tune and customize LLMs using LoRA, PEFT and transfer learning

  • Build chatbots, search engines, recommendation and knowledge retrieval apps

  • Develop scalable AI pipelines, model-serving frameworks and API-based AI services

From the employer’s posting
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.
Develop scalable AI pipelines, model-serving frameworks, and API-based AI services.
Apply at Weekday AI

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 7 and day 56.

At Weekday AI, jobs usually come down by about day 5.

From 10,195 similar postings that came down, and 81 of Weekday AI’s. Coming down is not always a hire.

Weekday AI is hiring

27 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Neo4j
Where the posting names them
Frameworks and Tools (Mandatory) - Strong programming skills in Python. - Hands-on experience with LangChain and LangGraph.
- 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.

Your next step

Complete your application on apply.workable.com. The employer’s form will show what is required.

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Has Weekday AI posted this job before?

Yes. We’ve followed 2 other Senior Data Scientist jobs there since October 2026. One came down after 5 days. One is still up.

  1. ChennaiCame down after 5 days, first seen Oct 14
  2. BengaluruStill up after 10 days, first seen Oct 26
  3. This jobUp 1 day so far, first seen Nov 4

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.
Source details

View original posting ↗

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Pay

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Location & working pattern

Mumbai, Maharashtra, India

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