Senior Data Scientist

Role:
Senior Data Scientist

Location:

Bangalore, Pune, Chennai, Hyderabad, Gurgaon and Kolkata

Experience:

5–8 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

5–8 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, Tensor Flow, 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  Lang Chain, Llama Index, 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 .