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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S

Safwa Jabbar

Mid-level
Full Time
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow keras scikit-learn pandas +5
Open profile
P

Parthieshwar R

Entry-level
Full Time, Freelance
ml (machine learning) deep learning
python machine learning deep learning computer vision nlp +5
Open profile
David Zhu

David Zhu

Senior-level
Part Time, Full Time
AI & Machine Learning Engineers Data Engineering & Big Data
chatgpt ai-driven marketing campaigns computer vision
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P

Princess Thupsie

Entry-level
Full Time
data science & analytics Computer Vision & Deep Learning
sql databricks statistics numpy computer vision
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Maidul Hasan Masum

Maidul Hasan Masum

Mid-level
Part Time
computer vision ai jobs
computer vision artificial intelligence python
Open profile
K

Kashish Kumar

Mid-level
Full Time, Part Time
deep learning NLP
machine learning python deep learning artificial intelligence nlp +2
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R

Rakshit Bhatt

Senior-level
Part Time, Contract
Engineering generative ai
llm agents fine tuning rag llm evaluation computer vision +2
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A

Aditya Lohia

Senior-level
Full Time
ai jobs computer vision
machine learning & deep learning large language models (llms) computer vision stable diffusion models model optimization +3
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D

Drew Van Deventer

Senior-level
Full Time, Part Time
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow pytorch computer vision kafka +5
Open profile
M

Miguel Hernández Salmerón

Senior-level
Full Time
AI & Machine Learning Engineers
python computer vision keras scikit-learn tensorflow +3
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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