Kaizen Analytix is seeking an Azure AI Document Intelligence Engineer to design and deploy Document AI workflows using Azure technologies. This remote contractor role involves collaboration with clients and teams to deliver advanced analytics solutions.
Kaizen Analytix LLC, an analytics products and services company that delivers unmatched speed to value through actionable insights and advanced analytics solutions, is seeking qualified candidates for a DevOps Cloud Technology Contractor role. This position requires a commitment of approximately 35–40 hours/week for 8–12 weeks. Responsibilities Actively contribute to client analytics and cloud engagements—including both custom and packaged solutions—by: • 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 • 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 Capabilities for Success The ideal candidate will demonstrate the ability to: • Understand the business context of an analytics solution: current state, problem, goals/objectives, business value, obstacles, and impacted client constituents • Collaborate with analysts, data scientists, and software engineers to implement high-quality, sophisticated analysis in support of client engagements and internal projects à This is really a Solo project. • Build and maintain CI/CD pipelines for enterprise-level cloud deployments • Work within Agile software development frameworks and methodologies • Develop working knowledge of new models and solution techniques applicable across projects • Facilitate critical communications between project owners, business users, and technical teams • Present analysis, models, and insights as executive summaries to client teams and internal groups • 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 Job Requirements • Bachelor’s Degree in Computer Science, Information Systems, or Engineering disciplines with at least 6 years of relevant experience building cloud applications • 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 • Extensive experience: • Working with cloud-native deployment frameworks • Strong database experience, including: Sql Server • Experience with stream-processing systems, such as: Apache Storm, Spark Streaming • Excellent communication skills—written, verbal, and presentation Ability to travel as requested by client This is a Remote (work from home) position. Powered by JazzHR tQgYfA9WlR
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