Hire Pre-Vetted Computer Vision Engineers in Under 14 Days
From object detection to OCR to real-time video analytics, computer vision is one of the hardest specialties to staff. Get a senior CV engineer who has shipped production vision systems — at $35/hour, in your time zone.
✔ Sub-14-day placement ✔ US time-zone overlap ✔ Vetted on real work ✔ Cancel anytime, 2 weeks’ notice
Why computer vision talent is in such short supply
Computer vision sits at the demanding edge of AI — it requires deep learning skill, an understanding of image and video data, and the engineering to run models in real time on real hardware. The people who can do all three are rare, and the ones who’ve actually shipped production systems are rarer still.
Hiring that profile in the US means $190K+ packages and a long search. Divogue keeps a vetted bench of CV engineers — the kind who’ve built YOLO-based detection, OCR, and image pipelines — ready to start in under two weeks.
What our computer vision engineers are vetted on
Every computer vision engineer we place is screened on production vision work, not toy datasets.
| Area | What we test for |
|---|---|
| Detection and segmentation | YOLOv8, ResNet, object detection, instance and semantic segmentation |
| Image and OCR | Feature matching, OCR, image classification, preprocessing pipelines |
| Frameworks | OpenCV, PyTorch, TensorFlow, ONNX |
| Deployment | Real-time inference, edge deployment, Azure, AWS, FastAPI serving |
| AI tooling | Daily use of Cursor, Claude, Copilot to ship faster |
What teams hire our computer vision engineers for
Object detection and tracking
Real-time detection and tracking for security, retail, manufacturing, and logistics use cases.
OCR and document processing
Extracting structured data from images and documents at production accuracy and scale.
Video analytics
Processing live and recorded video streams for events, anomalies, and insights.
Image classification and quality control
Automated visual inspection and classification pipelines that replace manual review.
The same engineer, half the cost, a fraction of the wait
| In-House US Hire | Divogue CV Engineer | |
|---|---|---|
| All-in annual cost | $185K–$250K | ~$67K ($35/hr) |
| Time to start | 2–4 months | Under 14 days |
| Recruiting fee | 20–25% of base | $0 |
| Time-zone overlap | Full | Full US hours |
Trusted by teams shipping in production
Divogue engineers are embedded with companies building real products today — including Riskcast, BGO Software, and everyone.ai — across construction technology, healthcare software, and ML infrastructure.
Frequently asked questions
What kinds of CV projects have your engineers shipped?
Object detection with YOLOv8 and ResNet, OCR, feature matching, and real-time video pipelines deployed on Azure and AWS — production systems, not demos.
How quickly can one start?
Most placements are live in under 14 days from your first call, and computer vision is a role where we keep deep vetted bench.
Which frameworks do they use?
OpenCV, PyTorch, TensorFlow, and ONNX, with FastAPI for serving and cloud deployment on AWS and Azure.
Do they overlap US working hours?
Yes. We source from LATAM and APAC specifically for engineers who work your business hours.
What if the engineer isn’t the right fit?
Cancel with two weeks’ notice, no penalty. We’ll help you find a better match if you’d like to continue.
Book a free intro call
Pick a time that works for you. We’ll walk through your stack, your needs, and show you matched engineers within days.
Ready to add a computer vision engineer to your team?
Book a free 30-minute call. Tell us about your vision project and we’ll show you matched CV engineers within days.