Senior Data Scientist

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.

• 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
• Prompt Engineering
• AI Agents and Agentic Workflows
• LLM Fine-Tuning using LoRA and PEFT
• Embeddings and Vector Search
• Multimodal AI Applications

• 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.
• Ability to apply Machine Learning concepts to predictive and generative AI use cases.
• Experience working with structured and unstructured data.

• Generative AI
• 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.