Description
We are seeking an experienced Data Scientist with strong expertise in Python and Generative AI (GenAI) to design and implement cutting-edge AI / ML solutions. The ideal candidate will have hands-on experience working with Gemini / OpenAI models , Vertex AI , Big Query NLP , and RAG-based architectures on GCP or Azure platforms.
Key Responsibilities
- Develop and deploy AI / ML and GenAI solutions using Gemini / OpenAI and Vertex AI .
- Build Retrieval-Augmented Generation (RAG) solutions using Vector Databases , chunking , and embedding techniques.
- Create and maintain CI / CD pipelines for model deployment and updates.
- Work extensively with GCP services such as Big Query , Form Recognizer , and Vertex AI pipelines .
- Develop and expose APIs for AI services using FastAPI or Django .
- Design, manage, and optimize NoSQL and Vector Databases .
- Implement NLP , Computer Vision (CV) , and Deep Learning models—preferably for healthcare data .
- Collaborate with cross-functional teams including engineering, analytics, and product teams to deliver scalable AI solutions.
Skills and Qualifications
Strong proficiency in Python programming .Hands-on experience with Generative AI (Gemini, OpenAI).Expertise in Vector Databases , embedding , and retrieval techniques.Solid understanding of Machine Learning , Deep Learning , NLP , and Computer Vision .Experience in CI / CD pipelines and API development (FastAPI / Django).Familiarity with NoSQL databases and RAG-based architectures .Experience with GCP and / or Azure cloud platforms.Education
Masters in Technology (M.Tech / M.E), Bachelor Of Technology (B.Tech / B.E)
Skills Required
Data Visualization, Python, AI ML, Nlp, Api Development, Database Management, Data Analytics