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Kaizen Analytix Logo

Azure AI Document Intelligence Engineer

Kaizen Analytix

Salary not specified
Aug 25, 2025
Atlanta, GA, US
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Kaizen Analytix LLC is seeking a DevOps Cloud Technology Contractor to contribute to client analytics and cloud engagements, focusing on solving business problems through advanced analytics solutions and automated data extraction from documents.

Requirements

  • Minimum 2 years of experience with Azure cloud technologies and hybrid cloud services
  • Hands-on experience with Document AI platforms, such as: AWS Textract, Azure AI Document Intelligence (Form Recognizer), or Google Cloud Document AI
  • Designing and deploying intelligent document processing (IDP) workflows for automated data extraction
  • Training and evaluating custom models for document classification, layout analysis, and key-value pair extraction
  • Excellent scripting skills in Python, including automation of document ingestion and processing pipelines
  • Working with cloud-native deployment frameworks
  • Strong database experience, including: Sql Server

Responsibilities

  • Defining and setting development, test, release, update, and support processes for DevOps operations
  • Designing and deploying Document AI workflows using Azure Document Intelligence (Form Recognizer) for automated data extraction from structured and unstructured documents
  • Integrating Document AI capabilities into cloud-native applications and analytics pipelines
  • Build and maintain CI/CD pipelines for enterprise-level cloud deployments
  • Leverage Azure AI services such as Form Recognizer, Layout Model, and Custom Document Models to extract key-value pairs, tables, and handwritten notes from diverse document types
  • Train and evaluate custom models for document classification and data extraction using Azure Document Intelligence Studio
  • Apply best practices for document preprocessing, OCR optimization, and confidence-based routing in composed models

Other

  • Participating in core delivery teams composed of Kaizen and non-Kaizen (clients, third parties) resources with business, technology, and data science skill sets
  • Managing multiple work streams from acquisition and planning through successful delivery
  • Solving business problems through excellent decision-making and innovative, strategic ideas
  • Understand the business context of an analytics solution: current state, problem, goals/objectives, business value, obstacles, and impacted client constituents
  • Ability to travel as requested by client