Data Scientist (GenAI & Python)

Job Description: You are sought after as a Data Scientist with a minimum of 5 years of experience and a solid background in Python programming and Generative AI (GenAI). Your expertise in working with GenAI models like Gemini/OpenAI, Vertex AI, BigQuery NLP, and implementing RAG-based solutions is crucial for this role. Your familiarity with GCP/Azure and modern MLOps tools will be beneficial in this position. Key Responsibilities: - Develop and implement AI/ML solutions utilizing GenAI (Gemini/OpenAI) and Vertex AI - Construct RAG (Retrieval Augmented Generation) based solutions incorporating Vector DBs, chunking, and embedding techniques - Establish and manage CI/CD pipelines for model deployment and updates - Collaborate with GCP services, particularly BigQuery, Form Recognizer, and Vertex AI pipelines - Create 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 - Engage in collaborative efforts with cross-functional teams comprising engineering and product departments Primary Skills Required: - Proficient in Python programming - Hands-on experience with GenAI models like Gemini and OpenAI - Understanding of Form Recognizer and CI/CD pipelines - Knowledge of Vector DBs, embedding techniques, chunking, and retrieval methods - Strong grasp of Machine Learning, Deep Learning, NLP, and Computer Vision - Ability to develop APIs using FastAPI or Django - Familiarity with NoSQL databases and RAG-based architectures - Cloud experience with GCP / Azure,