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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Jabulani Brown Mpofu

Jabulani Brown Mpofu

Mid-level
Full Time, Contract
ml (machine learning) computer vision
python c++ linux machine learning deep learning +4
Benjamin Doh

Benjamin Doh

Senior-level
Full Time, Freelance
computer vision deep learning
Jean Andrade Canestri

Jean Andrade Canestri

Senior-level
Full Time
computer vision data science
python computer vision machine learning databases sql +2
Kira Yang

Kira Yang

Entry-level
generative ai deep learning
H

Hafsa Rafique

Mid-level
Freelance, Part Time
python machine learning llm yolo computer vision +3
Swapnil Gupta

Swapnil Gupta

Mid-level
Full Time

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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