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.

Browse Computer Vision Profiles Post a job — it's free
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
Computer Vision

Top matching AI talents

Filters 1

AI Specialization

Availability

Experience Level

Hire top AI talent

Post a job and get matched with the best AI professionals.

Post a job
Lilian

Lilian

Junior
France — Paris (UTC+2) Full-time, Freelance
AI & Machine Learning Engineers Automation & AI Workflows
python computer vision reinforcement learning aws llm fine-tuning +5
Open profile
K

Kamran

Senior
France — Paris (UTC+2) Freelance
AI & Machine Learning Engineers
python pytorch numpy computer vision docker
Open profile
M

Muhammad

Senior
Pakistan — Karachi (UTC+5) Full-time
AI & Machine Learning Engineers data science & analytics
python tensorflow scikit-learn computer vision openai api +4
Open profile
Monhel Maudoony

Monhel Maudoony

Mid-Level
Brazil — Sao Paulo (UTC-3) Full-time, Contract
AI & Machine Learning Engineers data science & analytics
python mlflow pytorch scikit-learn sql +3
Open profile
Anoop

Anoop

Mid-Level
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers data science & analytics
python sql tensorflow pytorch langchain +5
Open profile
Cody

Cody

Mid-Level
United States — New York (UTC-4) Full-time
AI & Machine Learning Engineers Automation & AI Workflows
python tensorflow pytorch scikit-learn keras +5
Open profile
A

Alessandro

Junior
Italy — Rome (UTC+2) Full-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python pytorch computer vision tensorflow docker +5
Open profile
Md Saif Ali

Md Saif Ali

Junior
India — Kolkata (UTC+5.5) Full-time, Freelance
data science & analytics AI & Machine Learning Engineers
python rag langchain computer vision reinforcement learning +5
Open profile
Poomagal

Poomagal

Mid-Level
India — Kolkata (UTC+5.5) Full-time, Freelance
AI & Machine Learning Engineers MLOps & AI Infrastructure
python tensorflow pytorch scikit-learn keras +5
Open profile
M

Martin

Mid-Level
Denmark — Copenhagen (UTC+2) Full-time, Contract
AI & Machine Learning Engineers
tensorflow computer vision keras docker scikit-learn +4
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.

Skill cluster

Related skills you may also need

Python PyTorch TensorFlow Keras Docker

Browse other AI skills

Python SQL Prompt Engineering PyTorch TensorFlow RAG Pandas LangChain Scikit-learn OpenAI API NumPy Docker AWS Hugging Face Reinforcement Learning Power BI Keras CI/CD Azure Statistics Tableau Kubernetes R ETL GCP LlamaIndex Databricks MLflow Spark Kafka Airflow Snowflake Hadoop Browse all →

Ready to hire Computer Vision talent?

Post a job — it's free