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.