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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Muqaddas Asif

Muqaddas Asif

Junior
Pakistan — Karachi (UTC+5) Full-time
AI Product & Strategy AI & Machine Learning Engineers
pytorch computer vision tensorflow python
Open profile
Alma Paulina

Alma Paulina

Junior
Mexico — Mexico City (UTC-6) Full-time, Part-time
AI & Machine Learning Engineers data science & analytics
python sql ci/cd computer vision
Open profile
Muhammad

Muhammad

Junior
Pakistan — Karachi (UTC+5) Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow sql computer vision keras +4
Open profile
V

Vanshika

Junior
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers
python sql computer vision tensorflow
Open profile
S

Sheherezade

Junior
United Arab Emirates — Dubai (UTC+4) Full-time, Part-time
data science & analytics NLP & Prompt Engineering
python numpy pandas docker aws +5
Open profile
C

Charul Patel

Mid-level
Full Time, Part Time
computer vision ml (machine learning)
python ai ml computer vision nlp +1
Open profile
A

Ashutosh Pal

Entry-level
Full Time
computer vision data science
python machine learning computer vision deep learning data science
Open profile
A

Adrian

Senior-level
Full Time, Part Time
computer vision ml (machine learning)
python linux pytorch fastai mlops +4
Open profile
A

Ankita Nagdeve

Mid-level
Full Time, Freelance
computer vision generative ai
python sql powerbi tensorflow, keras, pytorch numpy, pandas, scikit-learn +4
Open profile
Y

Yathamshetty Rithwik

Entry-level
Internship, Freelance
ml (machine learning) computer vision
python numpy computer vision deep learning tensorflow +1
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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