Note: The job is a remote job and is open to candidates in USA. HeiTech Services, LLC is seeking an Intelligent Document Processing / OCR Engineer to design and implement document-processing capabilities. The role involves assessing document quality, configuring OCR models, and developing classification and extraction methods to enhance automated document processing.
Responsibilities
- Assess document collections, formats, and quality to determine appropriate OCR and processing approaches
- Configure and tune OCR, image preprocessing, and layout-analysis capabilities for scanned, image-based, degraded, and digitally generated documents
- Develop document-classification methods, taxonomies, and associated processing rules
- Develop structured field-extraction schemas, metadata mappings, validation rules, and extraction logic
- Establish confidence scores, acceptance thresholds, exception criteria, and human-review requirements
- Design and support exception-handling and human-validation workflows for incomplete, ambiguous, or low-confidence processing results
- Support duplicate-detection and document-quality controls within the processing workflow
- Develop or support automated processing workflows for newly added or modified documents, including ingestion, classification, extraction, validation, and exception routing
- Define, measure, and tune OCR quality, classification accuracy, and field-extraction accuracy using representative document samples
- Document processing configurations, quality results, known limitations, validation procedures, and operating instructions to support testing, deployment, and knowledge transfer
Skills
- Bachelor's degree in computer science, data science, information systems, engineering, or a related technical discipline
- Five years of relevant experience in document processing, data engineering, automation, machine learning, or a related technical field
- At least two years of hands-on experience with OCR, intelligent document processing, document classification, structured data extraction, or comparable technologies
- Experience processing scanned, image-based, degraded, digitally generated, or mixed-format document collections
- Experience developing document-classification, field-extraction, validation, or metadata-processing capabilities
- Experience implementing confidence scoring, exception handling, validation rules, or human-in-the-loop review processes
- Experience testing and evaluating OCR, classification, or extraction performance using defined quality measures
- Must be a US Citizen and ability to obtain and maintain a Public Trust
- Experience with Azure AI Document Intelligence or comparable intelligent document-processing platforms
- Experience automating document-processing workflows using APIs, scripts, Azure Functions, Logic Apps, Power Automate, or comparable technologies
- Experience integrating document-processing capabilities with document repositories, databases, content-management systems, or cloud platforms
- Experience supporting Federal Government, Government cloud, or other regulated environments
Company Overview