Computer Vision Engineer – Document Forensics & Tamper Detection

Raval West is seeking a Computer Vision Engineer to detect altered and fabricated documents across 20 document types. The role involves building and evaluating Python-based image and PDF checks, tuning detection thresholds with fraud reviewers, and monitoring deployed checks while providing clear evidence for flagged documents.

Responsibilities:

• Build checks for inconsistent fonts, text alignment, image edits, and anomalies in PDF structure or metadata
• Create a labeled evaluation set using genuine documents, confirmed examples of tampering, and synthetic alterations. Test against emerging methods, including AI-generated documents
• Tune detection thresholds with fraud reviewers. Measure precision, recall, and false positives at realistic fraud rates and across different image-quality levels
• Run new checks in shadow mode before they affect review decisions, monitor performance after launch, and show reviewers which region or file detail triggered each flag