Azure AI Document Intelligence / Computer Vision with Python (NCS/Job/ 3069)

    3. Total 4 positions in UHCT - EL3

a. 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.

b. 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.)

c. 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:

d. 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 submissions.