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.
Good 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