Computer Vision Talent
Computer vision powers everything from quality inspection to autonomous vehicles. Our CV engineers build image recognition, object detection, document analysis, and video processing systems that see and understand visual data at scale — deployed on cloud, edge, or mobile devices.
Every computer vision engineers we place has been vetted for production-level expertise across these core competencies.
Computer vision combines deep learning expertise with image processing fundamentals. These engineers understand model architectures, training strategies, data augmentation, and the critical step of deploying models efficiently on target hardware — from cloud GPUs to mobile phones.
Real-time defect detection system using cameras on production lines with sub-100ms inference.
OCR + AI system that extracts structured data from invoices, contracts, and forms with 95%+ accuracy.
Camera-based product search for mobile apps — customers photograph items to find similar products in your catalog.
Every Computer Vision developer passes our multi-stage assessment: Computer Vision-specific coding challenges, system design review, code quality audit, and cultural fit evaluation. Only the top 3% of applicants make it through. You interview pre-qualified computer vision engineers — not resumes.
We present 2-3 qualified computer vision engineers within 48 hours of your request. Our network includes 60+ Computer Vision specialists with 3+ years average experience — no waiting weeks for recruiters to source candidates.
Our computer vision engineers join your Slack, your standups, and your Computer Vision codebase. They follow your coding standards, use your CI/CD pipeline, and attend your sprint ceremonies — fully embedded in your engineering team from day one.
We're not just a staffing agency — we've built 23+ production products including Agiled, Chatsy, and Morphed. Our computer vision engineers bring that hands-on Computer Vision production experience to your team, not just textbook knowledge.
Only 3% of applicants make it through. Every computer vision engineers we place has passed all four stages.
We review Computer Vision project history, GitHub contributions, open-source work, and production deployments to verify hands-on Computer Vision experience.
Timed coding challenges covering OpenCV & Image Processing, YOLO / Object Detection, Image Classification (ResNet, EfficientNet) — plus system design problems that test real-world Computer Vision architecture decisions.
A 60-minute live coding session where candidates build a feature using Computer Vision alongside our senior engineers — testing code quality, debugging skills, and communication.
Soft skills evaluation focused on async communication, sprint collaboration, and the ability to integrate into your existing engineering team from day one.
Choose the model that fits your project needs. No long-term contracts — scale up or down as your project demands.
A computer vision developer works exclusively on your project, 40 hours/week. Best for ongoing product development and long-term projects.
20 hours/week of dedicated computer vision development. Ideal for startups, maintenance, or projects that don't need full-time capacity.
Fixed-scope computer vision development with a defined timeline and deliverables. Best for specific features, migrations, or MVPs.
Multiple computer vision developers join your existing team. Best for scaling quickly when you need to ship faster.
Beyond hiring computer vision engineers, we offer these related services:
Common questions about hiring computer vision engineers
We present 2-3 pre-vetted computer vision engineers within 48 hours. After you interview and select, developers can start within 3-5 business days.
Get matched with pre-vetted computer vision engineers in 48 hours. No long-term contracts. Replacement guarantee.