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Open nowPosted 10 hours ago

Senior Data Scientist

Weekday AI

Pay
₹30 an hour
Where
Mumbai, MH, India
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Your applicationOpen nowSenior Data ScientistWeekday AI · Mumbai, MH, India

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Weekday AI's own form.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 10 hours ago

The 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.
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