Description :

Job Description :

We are looking for a Data Scientist with 5 years of experience and strong expertise in Python programming, Generative AI, and GCP Services.

The ideal candidate should have hands-on experience working with GenAI models (Gemini/OpenAI), Vertex AI, BigQuery NLP, and building RAG-based solutions.

The candidate should also be comfortable with modern MLOps tools and advanced NLP/CV techniques.

Key Responsibilities :

- Develop and deploy AI/ML solutions leveraging GenAI (Gemini/OpenAI) and Vertex AI

- Build RAG (Retrieval Augmented Generation) based solutions using Vector DBs, chunking, and embedding techniques

- Create and manage CI/CD pipelines for model deployment and updates

- Work with GCP services, especially BigQuery, Form Recognizer, and Vertex AI pipelines

- Build and expose APIs using FastAPI or Django for AI service integration

- Design and optimize NoSQL and Vector Databases

- Implement NLP, Computer Vision (CV), and Deep Learning models for healthcare data

- Collaborate with cross-functional teams including engineering and product

Primary Skills Required :

- Strong proficiency in Python programming

- Experience with GCP services, especially Vertex AI and BigQuery NLP

- Hands-on with GenAI models like Gemini and OpenAI

- Knowledge of Form Recognizer and CI/CD pipelines

- Experience with Vector DBs, embedding techniques, chunking, and retrieval methods

- Solid understanding of Machine Learning, Deep Learning, NLP, and Computer Vision

- API development using FastAPI or Django

- Familiarity with NoSQL databases and RAG-based architectures