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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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Even

Even

Junior
Vietnam — Ho Chi Minh (UTC+7) Full-time
MLOps & AI Infrastructure
python pytorch computer vision kafka
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Deniz

Deniz

Junior
United States — Los Angeles (UTC-7) Part-time
AI & Machine Learning Engineers
python scikit-learn pytorch computer vision reinforcement learning +5
Open profile
Aishwarya

Aishwarya

Junior
India — Kolkata (UTC+5.5) Full-time, Freelance
AI & Machine Learning Engineers data science & analytics
python computer vision llm fine-tuning rag
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N

Nikhitha

Junior
India — Kolkata (UTC+5.5) Part-time, Freelance
AI & Machine Learning Engineers data science & analytics
python computer vision reinforcement learning prompt engineering
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A

Altaf

Senior
South Korea — Seoul (UTC+9) Freelance
AI & Machine Learning Engineers
python pytorch computer vision tensorflow
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J

Juan

Senior
Colombia — Bogota (UTC-5) Full-time, Contract
AI Product & Strategy data science & analytics
python tensorflow computer vision scikit-learn mlflow +2
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K

Kai

Senior
Belgium — Brussels (UTC+2) Full-time, Part-time
AI & Machine Learning Engineers
python pytorch scikit-learn computer vision
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S

Shoaib

Senior
Pakistan — Karachi (UTC+5) Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow langchain rag llamaindex +2
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I

Iman

Mid-Level
Pakistan — Karachi (UTC+5) Part-time
AI & Machine Learning Engineers data science & analytics
python computer vision pytorch tensorflow hugging face
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Dimitar

Dimitar

Senior
Bulgaria — Sofia (UTC+3) Full-time, Contract
AI & Machine Learning Engineers MLOps & AI Infrastructure
python pytorch mlflow azure ci/cd +1
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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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