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.

Manually reviewed
Remote worldwide
All engagement types
Computer Vision Engineer Object Detection Specialist Medical Imaging AI Developer Edge AI / CV Systems Engineer Video Intelligence Engineer

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M

Md Nasim Al Sajjad

Senior-level
Full Time, Contract
ai jobs Leadership
python computer vision object detection deep learning tensorflow +2
Ansab Butt

Ansab Butt

Mid-level
Full Time, Contract
computer vision prompt engineering
python ai/ml tensor flow genai nlp +5
S

Sparsh Tewatia

Entry-level
Part Time
generative ai data science
machine learning deep learning computer vision nlp generative ai +1
K

Keaton Zang

Senior-level
Full Time
AI & Machine Learning Engineers
T

Trần Văn Dân

Entry-level
Part Time, Internship
computer vision deep learning
D

Deepthi Sudharsan

Entry-level
Full Time
generative ai NLP
python generative ai machine learning deep learning computer vision +3
M

Mohit

Entry-level
Internship, Full Time
computer vision ml (machine learning)
Deepak T

Deepak T

Mid-level
Part Time, Internship
prompt engineering ml (machine learning)
ai coding data visualization nlp computer vision data training +1
P

Patrisius Bagus Alvito Baylon

Entry-level
Part Time
ml (machine learning) Engineering
python matlab machine learning data science computer vision +3
P

Pranay Mukherjee

Mid-level
Full Time, Contract
deep learning generative ai
python deep learning natural language processing computer vision speech processing +2

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)

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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