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.

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Computer Vision Engineer Object Detection Specialist Medical Imaging AI Developer Edge AI / CV Systems Engineer Video Intelligence Engineer
Computer Vision

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Z

Zhao Liu

Mid-level
AI & Machine Learning Engineers
python pytorch scikit-learn computer vision
Open profile
N

Naitik Soni

Entry-level
Full Time
Computer Vision & Deep Learning computer vision
python computer vision
Open profile
M

Mahmoud Kamal

Entry-level
Part Time, Internship
deep learning NLP
python tensorflow deep learning computer vision nlp +1
Open profile
Mihai Fieraru

Mihai Fieraru

Senior-level
Full Time, Part Time
Research generative ai
python computer vision 3d digital avatars human reconstruction +4
Open profile
Jay Vora

Jay Vora

Mid-level
Full Time, Freelance
AI & Machine Learning Engineers NLP & Prompt Engineering
python pytorch computer vision hugging face business intelligence +5
Open profile
S

Son Dao

Mid-level
Freelance
AI & Machine Learning Engineers
python pytorch computer vision numpy scikit-learn
Open profile
Piero Castriota

Piero Castriota

Mid-level
Full Time
computer vision deep learning
python c++ computer vision deep learning machine learning +4
Open profile
Arelly Yashaswini

Arelly Yashaswini

Entry-level
Full Time, Internship
AI & Machine Learning Engineers Computer Vision & Deep Learning
python tensorflow pytorch sql numpy +3
Open profile
F

Franck Valentini

Mid-level
Full Time
AI & Machine Learning Engineers
python pytorch scikit-learn computer vision spark +5
Open profile
Jishnu

Jishnu

Mid-level
Full Time, Freelance
Research ml (machine learning)
python machine learning generative ai deep learning nlp +5
Open profile

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)

Related hiring paths

Adjacent expertise teams often hire next

AI & ML Engineering for teams that also need broader model delivery, experimentation, and production AI engineering around vision systems MLOps & AI Infrastructure when the next bottleneck is GPU deployment, inference reliability, and serving visual models at scale Data Science & Analytics for companies pairing visual models with experimentation, performance analysis, and downstream business reporting

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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