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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N

Nanditha

Entry-level
Full Time
ml (machine learning) computer vision
python machine learning deep learning ai agents rag +5
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Abdul Muqtadir

Abdul Muqtadir

Entry-level
computer vision ml (machine learning)
pytorch computer vision python ai machine learning
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J

Joost Van Wijk

Mid-level
Part Time, Full Time
ml (machine learning) deep learning
tensorflow python javascript git statistics +5
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M

Maaz Mohsin

Senior-level
Part Time, Full Time
generative ai ml (machine learning)
machine learning engineer data scientist computer vision artificial intelligence engineer
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S

Soham Singhl

Entry-level
Full Time, Freelance
ml (machine learning) prompt engineering
python llm computer vision openai mongo db +5
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J

Jedsada Artchomphoo

Entry-level
Full Time, Contract
AI & Machine Learning Engineers data science & analytics
python tensorflow pytorch scikit-learn computer vision +1
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K

Kruti R Pandya

Entry-level
Full Time, Part Time
ai jobs computer vision
python artificial intelligence deep learning machine learning computer vision +5
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M

Mukul Nandkishor Mhatre

Entry-level
Full Time, Part Time
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow computer vision sql chatgpt +1
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M

Myint Mo Than Maung

Entry-level
Full Time, Internship
computer vision deep learning
python tensorflow pytorch pandas machine learning +3
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Menna Younes

Menna Younes

Junior
Egypt — Cairo (UTC+3) Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python sql tensorflow numpy computer vision +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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