IDP OCR Engineer

Job Description

Seeking an Intelligent Document Processing - OCR Engineer with 3+ years of experience to improve document extraction across 20 document types and template variations, ensuring reliable results from scans, phone photos, and compressed PDFs.

Responsibilities

• Build and maintain Python-based OCR and extraction pipelines using queue-based or batch processing.
• Implement image-quality checks for blur, glare, skew, resolution, and compression to route documents for processing, resubmission, or review.
• Collaborate with the forensics engineer to distinguish poor image quality from document alteration and reduce false fraud flags.
• Measure extraction accuracy by document type, calibrate field-level confidence scores against actual error rates, and automate regression testing for every change.
• Help create clear guidance for users submitting replacement documents.

Qualifications

• 3+ years building or operating production document-processing or OCR systems.
• Hands-on experience with Tesseract, PaddleOCR, Google Document AI, or similar OCR tools.
• Strong Python skills and experience with image preprocessing, including deskewing, denoising, and contrast adjustment.
• Experience processing inconsistent inputs and testing extraction accuracy.
• Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent practical experience.
• Experience with layout-aware models, key-value extraction, image-quality assessment, or eligibility, financial, insurance, or identity documents preferred. Government or regulated-environment experience is a plus.