Computer Vision Engineer
Vivid Resourcing
Mechelen, Belgium
9 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
€72,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Computer Vision
Microsoft Azure
Nvidia CUDA
Image Analysis
Dicom
Python (Programming Language)
Machine Learning
Object Detection
OpenCV
Tensorflow
+7 more
Data Processing
Pytorch
Deep Learning
Kubernetes
Machine Learning Operations
TensorRT
Docker
Job 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.
Requirements
- 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.
Benefits & conditions
The Offer
- Hybrid working model with offices based in Mechelen.
- Opportunity to develop cutting-edge AI solutions for healthcare and medical imaging.
- Collaborative engineering environment with strong investment in innovation and professional development.
- Competitive salary of up to €6,000 per month, depending on experience.
- Company car or flexible mobility budget.
- 12+ ADV days.
- Group and hospitalisation insurance.
- Clear progression opportunities into Senior Computer Vision Engineer, AI Technical Lead, AI Architect, or Machine Learning Lead roles.
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