Data Scientist - Generative AI/Machine Learning

You are a Data Scientist with 5-7 years of experience, specializing in Generative AI and Google Cloud Platform (GCP). Your primary responsibility is to develop AI-powered automation solutions for health claims processing systems using GenAI applications on GCP. • *Key Responsibilities:** - Design and deploy AI agents using Gemini (Pro/Flash) and Vertex AI Agent Builder - Develop Retrieval-Augmented Generation (RAG) pipelines - Implement Vector Search and embedding-based retrieval - Utilize Document AI / Vision AI for medical document parsing (OCR + structured extraction) - Conduct prompt engineering, model evaluation, and fine-tuning - Deploy scalable AI microservices using Cloud Run / GKE / Cloud Functions - Integrate AI APIs with healthcare systems and BigQuery - Optimize performance, latency, and monitoring of GenAI workflows • *Qualifications Required:** - 5-7 years of experience in Data Science / Machine Learning - Minimum 1 year hands-on experience in Generative AI on GCP - Strong hands-on experience with Vertex AI (Pipelines, Model Registry, Studio), Gemini API, Vertex AI SDK, and LangChain or similar LLM orchestration framework - Experience with embeddings and Vector Databases, RAG architecture, BigQuery, API development and deployment - Strong proficiency in Python programming • *Good to Have:** - Exposure to Healthcare / Insurance domain - Experience with compliance-driven AI systems - Experience in handling large-scale production ML systems (Note: Additional details about the company were not provided in the job description.) You are a Data Scientist with 5-7 years of experience, specializing in Generative AI and Google Cloud Platform (GCP). Your primary responsibility is to develop AI-powered automation solutions for health claims processing systems using GenAI applications on GCP. • *Key Responsibilities:** - Design and deploy AI agents using Gemini (Pro/Flash) and Vertex AI Agent Builder - Develop Retrieval-Augmented Generation (RAG) pipelines - Implement Vector Search and embedding-based retrieval - Utilize Document AI / Vision AI for medical document parsing (OCR + structured extraction) - Conduct prompt engineering, model evaluation, and fine-tuning - Deploy scalable AI microservices using Cloud Run / GKE / Cloud Functions - Integrate AI APIs with healthcare systems and BigQuery - Optimize performance, latency, and monitoring of GenAI workflows • *Qualifications Required:** - 5-7 years of experience in Data Science / Machine Learning - Minimum 1 year hands-on experience in Generative AI on GCP - Strong hands-on experience with Vertex AI (Pipelines, Model Registry, Studio), Gemini API, Vertex AI SDK, and LangChain or similar LLM orchestration framework - Experience with embeddings and Vector Databases, RAG architecture, BigQuery, API development and deployment - Strong proficiency in Python programming • *Good to Have:** - Exposure to Healthcare / Insurance domain - Experience with compliance-driven AI systems - Experience in handling large-scale production ML systems (Note: Additional details about the company were not provided in the job description.)