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
