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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Jatin Bhusal

Jatin Bhusal

Mid-level
Full Time, Part Time
computer vision deep learning
training computer vision transformers research literature review +3
Arif Hussain

Arif Hussain

Entry-level
Full Time, Contract
AI & Machine Learning Engineers AI Product & Design
Bishal Kumar Sah

Bishal Kumar Sah

Entry-level
Internship
data science & analytics Computer Vision & Deep Learning
Asah Emmanuel

Asah Emmanuel

Entry-level
Full Time, Contract
ml (machine learning) Engineering
python computer vision ai training ml modelling engineering +2
Abdelrahman Salah

Abdelrahman Salah

Mid-level
Freelance
AI & Machine Learning Engineers
Ahmed Mohamed Mostafa Zaitoon

Ahmed Mohamed Mostafa Zaitoon

Mid-level
Full Time, Part Time
computer vision deep learning
Shahzeen Ahmad

Shahzeen Ahmad

Mid-level
Part Time, Full Time
computer vision deep learning
javascript node.js react.js computer vision mediapipe +4
Satyam Mishra

Satyam Mishra

Mid-level
Full Time
ai jobs computer vision
Ahmed Mustafa

Ahmed Mustafa

Mid-level
Part Time, Freelance
computer vision deep learning
python machine learning deep learning artificial intelligence computer vision +3
Deepak Ranolia

Deepak Ranolia

Senior-level
Full Time
AI & Machine Learning Engineers Computer Vision & Deep Learning

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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