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

Naitik Soni

Entry-level
Full Time
AI & Machine Learning Engineers
python computer vision chatgpt prompt design
Open profile
M

Mohamed Mounir Moussa

Senior-level
Full Time
deep learning ml (machine learning)
python torch cuda tensorflow computer vision +3
Open profile
V

Vitaly

Entry-level
Full Time, Part Time
ml (machine learning) NLP
machine learning python ai sql computer vision +2
Open profile
Julio Cesar Mendoza Bobadilla

Julio Cesar Mendoza Bobadilla

Mid-level
ai jobs computer vision
python pytorch, tensorflow scikit-learn numpy +5
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U

Usama Rehman

Mid-level
Full Time, Part Time
ml (machine learning) deep learning
python machine learning deep learning fastapi genai integration +3
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B

Brundha J

Entry-level
Full Time
data science data science & analytics
python c++ sql machine learning data preprocessing +5
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S

Slobodan Ilic

Executive-level
Full Time, Contract
prompt engineering architecture
python data science ai matlab remote sensing +5
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S

Santiago Ramirez Jimenez

Mid-level
Full Time, Part Time
ai jobs prompt engineering
python computer vision reinforcement learning natural language processing
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A

Arnab Chakravarty

Senior-level
Full Time
AI & Machine Learning Engineers MLOps & Industrialisation
python tensorflow chatgpt langchain rag +5
Open profile
T

Thanh Nguyen

Senior-level
Part Time, Contract
AI & Machine Learning Engineers NLP & Prompt Engineering
tensorflow pytorch scikit-learn computer vision kafka +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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