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
GenAI