Role: Senior Data Scientist Generative AI (GCP + Gemini)
Location: Bangalore, Pune, Chennai, Hyderabad, Gurgaon and Kolkata
Experience: 58 Years
About the Role
We are looking for a Senior Data Scientist with strong expertise in Generative AI and Google Cloud Platform (GCP) to design, build, and deploy scalable AI solutions. The ideal candidate should have hands-on experience with Gemini models, LLM-based architectures, and GCP AI services such as Vertex AI to develop enterprise-grade GenAI applications.
This role requires a strong foundation in machine learning, deep learning, and LLM orchestration, along with the ability to translate complex business problems into scalable AI solutions.
Key Responsibilities
- Design and implement Generative AI solutions using Gemini models on Google Cloud Platform.
- Develop and deploy LLM-powered applications using Vertex AI, Gemini APIs, and GCP AI services.
- Build end-to-end ML pipelines including data preprocessing, model training, evaluation, and deployment.
- Implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models.
- Optimize prompt engineering, model fine-tuning, and inference pipelines for production-grade applications.
- Collaborate with data engineers, ML engineers, and business stakeholders to translate business requirements into AI solutions.
- Ensure scalability and reliability of models deployed on GCP infrastructure.
- Stay updated with advancements in LLMs, GenAI frameworks, and Google AI ecosystem.
Required Skills & Qualifications
- 58 years of experience in Data Science / Machine Learning.
- Strong experience in Generative AI and Large Language Models (LLMs).
- Hands-on experience with Google Cloud Platform (GCP).
- Practical experience working with Gemini models and Vertex AI.
- Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch).
- Experience with RAG pipelines, prompt engineering, embeddings, and vector databases.
- Strong understanding of machine learning algorithms, NLP, and deep learning techniques.
- Experience in building production-grade AI/ML solutions on cloud platforms.
- Strong problem-solving skills and ability to work in a cross-functional environment.
Good to Have
- Experience with LangChain, LlamaIndex, or similar GenAI frameworks.
- Exposure to agentic AI frameworks and autonomous AI systems.
- Experience with MLOps, CI/CD pipelines, and model monitoring.
- Knowledge of data engineering tools and distributed computing frameworks.
Why Join Us
- Work on cutting-edge Generative AI and enterprise-scale AI solutions.
- Opportunity to build impactful AI products using Google's latest AI technologies.
- Collaborate with high-performing data scientists, engineers, and AI researchers.
