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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Paarth Srivastava

Paarth Srivastava

Junior
India — Kolkata (UTC+5.5) Full-time, Contract
AI & Machine Learning Engineers Automation & AI Workflows
Samuel Alejandro

Samuel Alejandro

Junior
Mexico — Mexico City (UTC-6) Full-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
Abhijith

Abhijith

Mid-Level
United Arab Emirates — Dubai (UTC+4) Full-time, Part-time
AI & Machine Learning Engineers AI Implementation & Consulting
Kent Tommy Danielsson

Kent Tommy Danielsson

Senior-level
Full Time
Product AI Product & Strategy
python mlops devops llm vector databases +3
Aman Kapoor

Aman Kapoor

Mid-level
Internship, Part Time
ml (machine learning) deep learning
python tensorflow computer vision natural language processing large language models +4
Nilay Gupta

Nilay Gupta

Mid-level
Part Time, Full Time
chatgpt computer vision
data science computer vision nlp deep learning research +5
Nicola Covallero

Nicola Covallero

Senior-level
Freelance, Full Time
AI & Machine Learning Engineers
Shantanu Singh

Shantanu Singh

Senior-level
Freelance, Full Time
computer vision deep learning
python deep learning c++ ros computer vision +5
Ike Judah Ekenedilichukwu

Ike Judah Ekenedilichukwu

Mid-level
Part Time
data science & analytics AI & Machine Learning Engineers
Yassin Jomni

Yassin Jomni

Senior-level
Freelance, Contract
computer vision Leadership
misra c/c++ python opencv tensorflow docker +4

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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