Senior Computer Vision Engineer

Were building an AI-powered document scanning app and need a Senior Computer Vision/OpenCV Engineer who can create world-class document enhancement filters similar to CamScanner Magic Pro , Adobe Scan Filters etc

If you love turning low-quality images into clean, professional documents using a mix of CV + lightweight deep learning, this role is for you.

What you'll build

You will lead the creation of our full document enhancement pipeline:

• Document segmentation models
• Dewarping models and geometric correction
• Appearance enhancement filters (deshadowing, denoising, deblurring, brightness + contrast balancing, color preservation, binarization, text clarity enhancement)
• High-quality grayscale and B&W output filters
• TFLite models with <1 second inference time on Android/iOS
• Optimised pre/post-processing using OpenCV
• Production-ready, mobile-optimised ML pipelines

You will work closely with our Android/iOS team to ensure real-time, on-device performance.

Requirements

• 3+ years in Computer Vision, Image Processing, OpenCV
• Proven experience building and deploying TFLite models on mobile
• Strong understanding of model optimization for real-time inference
• Ability to reproduce or exceed filters from CamScanner / Adobe Scan
• Strong engineering discipline: clean code, structure, documentation

Bonus skills

• Android app integration experience (Java/Kotlin + native CV/ML)
• Experience with hybrid CV + CNN filter design
• Knowledge of GANs or advanced enhancement models
• Familiarity with OCR related preprocessing (deskew, binarize, denoise)

What Were Looking For

You will build document enhancement filters that outperform CamScanner Magic Pro in clarity, contrast, readability, color accuracy, real-time performance. Our benchmark is world-class output , not academic prototypes

About Us

We build next-gen AI products designed to simplify and enhance everyday experiences. Our mission is to apply the best of computer vision, deep learning, and NLP to create intelligent tools for massive real-world impact