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About the role
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: - Robust 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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