Lead Data Scientist

Role: Lead Data Scientist Generative AI (GCP + Gemini)

Location: Bangalore, Pune, Gurgaon, Hyderabad, Chennai and Kolkata

Experience: 812 Years

About the Role

We are looking for a Lead Data Scientist with deep expertise in Generative AI and Google Cloud Platform (GCP) to lead the design and development of enterprise-scale AI solutions. The ideal candidate will have strong hands-on experience with Gemini models and the Google AI ecosystem, leveraging Vertex AI, Gemini APIs, and advanced LLM architectures to deliver scalable and impactful AI-driven solutions.

This role combines technical leadership and hands-on development, where the candidate will drive GenAI innovation, mentor data scientists, and lead end-to-end AI solution development for complex business problems.

Key Responsibilities

• Lead the design, development, and deployment of Generative AI solutions using Gemini models on GCP.
• Architect LLM-powered enterprise applications using Gemini APIs, Vertex AI, and GCP AI services.
• Develop multi-modal AI applications leveraging Gemini capabilities (text, reasoning, code generation, document understanding, and multimodal inputs).
• Design and implement Retrieval-Augmented Generation (RAG) architectures integrating Gemini models with enterprise data sources.
• Drive advanced prompt engineering, prompt optimization, and prompt management strategies for Gemini models.
• Build and scale agentic AI systems and AI-driven automation workflows using LLM frameworks.
• Lead the development of end-to-end ML pipelines on Vertex AI including training, evaluation, deployment, and monitoring.
• Integrate Gemini models with embeddings, vector databases, and enterprise knowledge retrieval systems.
• Ensure model scalability, performance optimization, and cost efficiency on GCP infrastructure.
• Collaborate with cross-functional teams including data engineers, ML engineers, product teams, and business stakeholders.
• Mentor and guide junior data scientists and ML engineers, providing technical leadership on AI initiatives.
• Stay updated with the latest advancements in the Google AI ecosystem including Gemini, Vertex AI, and emerging GenAI frameworks.

Required Skills & Qualifications

• 812 years of experience in Data Science, Machine Learning, or Artificial Intelligence.
• Strong expertise in Generative AI, Large Language Models (LLMs), and advanced NLP techniques.
• Hands-on experience working with Google Gemini models (Gemini Pro / Gemini APIs / Gemini through Vertex AI).
• Strong experience with Google Cloud Platform (GCP) including Vertex AI and AI/ML services.
• Experience building GenAI applications using Gemini for tasks such as text generation, summarization, conversational AI, reasoning, and document intelligence.
• Expertise in prompt engineering, prompt tuning, and LLM optimization techniques.
• Strong experience implementing RAG pipelines using embeddings, vector databases, and knowledge retrieval systems.
• Advanced programming skills in Python with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience deploying production-grade AI and ML solutions on cloud platforms.
• Strong understanding of deep learning, NLP architectures, and LLM-based systems.
• Proven experience in technical leadership, solution architecture, and mentoring teams.

Good to Have

• Experience with LangChain, LlamaIndex, or other LLM orchestration frameworks.
• Experience building AI agents or agentic AI systems.
• Knowledge of MLOps practices including CI/CD pipelines, model governance, and monitoring.
• Experience with vector databases such as Pinecone, FAISS, or Weaviate.
• Exposure to multi-modal AI applications using Gemini models.

Why Join Us

• Opportunity to work on cutting-edge Generative AI solutions using Googles latest AI technologies.
• Lead the development of enterprise-scale AI systems impacting real-world business problems.
• Collaborate with high-performing teams across data science, engineering, and AI research.