Data Scientist

Job Description :

Role Overview - The role involves designing and deploying Generative AI applications for automating health claims processing.

• The engineer will use Google Cloud Platform (GCP), specifically Vertex AI and Gemini, to transform unstructured medical data into insights.
• Business objective is to improve claim accuracy and adjudication speed. Key Responsibilities - Design and implement production-ready AI agents and workflows using Gemini (Pro / Flash) and Vertex AI Agent Builder to automate health claim validation.
• Utilize Document AI and Vertex AI Vision to extract and structure data from medical documents, such as patient charts and lab reports.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Search and Conversation to cross-reference claims against insurance policy details and medical codes.
• Perform prompt engineering, fine-tuning, and performance monitoring to ensure AI outputs meet healthcare standards (e.g., IRDAI compliance).
• Develop and deploy scalable AI APIs using Cloud Run, GKE, or Cloud Functions, integrating them with healthcare systems and BigQuery data warehouses.

Must Required Skills & Qualifications :

• Hands-on experience with Vertex AI (Model Registry, Pipelines, Studio) and the Gemini API.
• Proficiency in API integration and LLM orchestration tools like LangChain or the Vertex AI SDK.
• Experience with Vector Search, embeddings, and querying large datasets in BigQuery.
• 5+ years in AI / ML engineering, with at least 1 year dedicated to GenAI on Google Cloud.