1. Azure AI Document Intelligence / Computer Vision

· Build document-processing solutions using Azure AI Document Intelligence for OCR, key-value extraction, table extraction, and document classification.

· Develop and optimize Azure Computer Vision models for clinical images such as X-rays, charts, radiographs, and handwritten narratives. (Azure Computer Vision explicitly highlighted as core requirement.)

· Implement classification workflows to determine document eligibility, missing attachments, or inconsistencies during claim submission.

2. Python Development

· Develop end-to-end AI/ML pipelines in Python to prepare data, call Azure AI services, post-process outputs, and generate structured responses.

· Convert cognitive model results into real-time APIs integrated into clinical/claims applications. (Python was stated as required for converting models to APIs.)

3.



Collaboration & Requirement Analysis

· Work closely with healthcare SMEs, clinicians, architects, and advisory teams to understand document semantics and classification needs.

· Participate in requirement-gathering sessions where doctors provide document samples, classifications, and scenarios.

· Translate business and clinical inputs into actionable AI logic and technical specifications.

Valuable to have:

Data-Driven AI Solutions

· Support the development of data-driven AI solutions to address operational inefficiencies, reduce rework cycles, and detect missing patterns in provider

Exp- 5-10 Yrs

Budget- 28 LPA

Location- PAN India

NP- Serving

📌 Gen AI with Python (Pune)
🏢 TalentOla
📍 Pune