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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Cristhian Camilo Gomez Neira

Cristhian Camilo Gomez Neira

Mid-level
Full Time, Freelance
ml (machine learning) chatgpt
Konstantin Matskevich

Konstantin Matskevich

Executive-level
Full Time, Contract
AI & Machine Learning Engineers
Tomiwa Samuel Ojo

Tomiwa Samuel Ojo

Mid-level
Full Time
AI & Machine Learning Engineers
Khanh Nguyen

Khanh Nguyen

Entry-level
Part Time, Freelance
computer vision chatgpt
deep learning computer vision programming python c++ +5
Adrián

Adrián

Mid-level
Freelance, Contract
prompt engineering computer vision
python programming calibration computer vision automation +3
Sonjoy Dey

Sonjoy Dey

Mid-level
Part Time, Internship
ai jobs ml (machine learning)
Alex Carlier

Alex Carlier

Senior-level
Freelance, Full Time
computer vision ml (machine learning)
Misheck Kibunja Kabiriri

Misheck Kibunja Kabiriri

Mid-level
Full Time, Part Time
data science MLOps
sql python data science time series analysis deep learning +1
Ankesh Ansh

Ankesh Ansh

Entry-level
Full Time
NLP Research
python machine learning data science nlp computer vision +4
Faisal Ahmed Sifat

Faisal Ahmed Sifat

Executive-level
Full Time, Freelance
computer vision ml (machine learning)
pytorch rag vit react nextjs +5

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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