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# Computer Vision Engineer

- **Company:** Vivid Resourcing
- **Location:** Mechelen, Belgium
- **Experience:** Experienced
- **Salary:** €72,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Nvidia CUDA, Image Analysis, Dicom, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Tensorflow, Data Processing, Pytorch, Deep Learning, Kubernetes, Machine Learning Operations, TensorRT, Docker
- **Published:** August 2, 2026
- **Apply:** https://www.adzuna.be/details/5812001272

## About the Role

* 2-8 years of experience in Computer Vision, AI Engineering, Machine Learning, or a related field.
 * Strong Python programming skills.
 * Experience developing production-ready computer vision or deep learning models.
 * Hands-on experience with image classification, object detection, image segmentation, or medical imaging applications.
 * Experience with PyTorch, TensorFlow, OpenCV, or similar frameworks.
 * Knowledge of machine learning model deployment and optimisation.

Nice to Have

 * Experience working with medical imaging modalities such as MRI, CT, X-ray, ultrasound, or digital pathology.
 * Familiarity with healthcare imaging standards including DICOM.
 * Experience with MLOps, Docker, Kubernetes, or cloud platforms (Azure, AWS, or GCP).
 * Knowledge of NVIDIA CUDA, TensorRT, or model optimisation for inference.
 * Understanding of healthcare AI regulations or clinical validation processes.

## Description

* Design, develop, and optimise computer vision and deep learning models for medical image analysis.
 * Build AI solutions for image classification, object detection, segmentation, anomaly detection, and image enhancement.
 * Develop data processing and annotation pipelines for large-scale medical imaging datasets.
 * Deploy and optimise AI models for production environments, ensuring scalability and reliability.
 * Collaborate with software engineers, data scientists, and clinical experts to integrate AI solutions into healthcare applications.
 * Evaluate model performance, validate algorithms, and continuously improve accuracy and robustness.
 * Contribute to research and the adoption of the latest computer vision and deep learning techniques.


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