Skill specialists

Hire Vetted Computer Vision Engineers

Browse engineers who build image recognition, object detection, and video intelligence systems — from YOLO-based detection to Vision Transformers and production edge deployment.

Manually reviewed
Remote worldwide
All engagement types
Computer Vision Engineer Object Detection Specialist Medical Imaging AI Developer Edge AI / CV Systems Engineer Video Intelligence Engineer

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A

Arman

Junior
Armenia — Yerevan (UTC+4) Full-time, Freelance
AI & Machine Learning Engineers
Miguel

Miguel

Mid-Level
Kenya — Nairobi (UTC+3) Full-time, Freelance
AI & Machine Learning Engineers MLOps & AI Infrastructure
S

Sam

Mid-Level
United States — New York (UTC-4) Full-time, Freelance
AI & Machine Learning Engineers NLP & Prompt Engineering
Shrey

Shrey

Junior
Australia — Melbourne (UTC+11) Full-time, Part-time
NLP & Prompt Engineering data science & analytics
H

Hoàng Nam

Junior
Indonesia — Jakarta (UTC+7) Full-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
L

Louay

Junior
Tunisia — Tunis (UTC+1) Full-time, Freelance
AI & Machine Learning Engineers AI Implementation & Consulting
B

Buse

Junior
Turkey — Istanbul (UTC+3) Full-time, Part-time
AI & Machine Learning Engineers data science & analytics
Shreyas Aher

Shreyas Aher

Senior
India — Kolkata (UTC+5.5) Freelance, Part-time
AI & Machine Learning Engineers Automation & AI Workflows
Manthri

Manthri

Junior
India — Kolkata (UTC+5.5) Full-time, Part-time
AI & Machine Learning Engineers data science & analytics
Maxwel

Maxwel

Junior
Kenya — Nairobi (UTC+3) Full-time
AI & Machine Learning Engineers data science & analytics

Hiring guide

Why companies hire Computer Vision experts

Computer vision engineers build AI systems that see and understand images and video. Applications range from quality inspection and medical imaging to autonomous systems and retail analytics. This is one of the most commercially applied AI disciplines.

Popular projects

  • Build an automated quality inspection system for manufacturing
  • Create a visual search or product recognition feature
  • Develop object detection for retail analytics or security
  • Build medical image analysis for diagnostic or screening support

What to look for

  • Experience with modern CV architectures (ViT, YOLO, Segment Anything)
  • Knowledge of data augmentation and annotation workflows
  • Production deployment of CV models (ONNX, TensorRT, edge devices)

Frequently asked questions

What industries hire computer vision engineers most?

Manufacturing (quality control), healthcare (medical imaging), retail (visual search, checkout), automotive (perception systems), and security (surveillance and anomaly detection) are the largest hirers of computer vision engineers.

Do computer vision engineers also work with video?

Yes. Most CV engineers have experience with both image and video processing — including video understanding, tracking, and real-time inference optimisation.

What is the difference between YOLO and a Vision Transformer for object detection?

YOLO is a real-time single-stage detector optimised for speed — ideal for edge devices and video streams. Vision Transformers (ViT, DETR) offer higher accuracy on complex scenes but require more compute. The right choice depends on your latency and accuracy requirements.

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