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
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