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Computer vision engineer

Malines
Vivid Resourcing
Publiée le 28 avril
Description de l'offre

The Role

Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.
As a Computer Vision Engineer, you’ll be working with

AI, deep learning, and real-world applications

where you will be responsible for building systems that can interpret and understand visual data.

Responsibilities
Design, develop, and deploy computer vision models for real-world applications
Build and optimize image and video processing pipelines
Develop and train deep learning models (e.g., object detection, segmentation, classification)
Work with large-scale datasets for training, validation, and testing
Implement data preprocessing, augmentation, and labeling strategies
Optimize models for performance, scalability, and latency (edge or cloud deployment)
Collaborate with data engineers and ML engineers to productionize models
Integrate vision solutions into broader software systems and APIs
Ensure robustness, accuracy, and reliability of deployed models

Your Profile
2–5+ years of experience in Computer Vision or Machine Learning
Strong programming skills in Python
Experience with deep learning frameworks (TensorFlow, PyTorch, or something similar)
Solid understanding of computer vision techniques (CNNs, transformers, image processing)
Experience with libraries such as OpenCV, scikit-image, or similar
Experience working with large datasets and annotation tools
Familiarity with model deployment (Docker, REST APIs, or edge devices)
Experience with cloud platforms (AWS, Azure, or GCP) is a plus
Understanding of MLOps practices xphnsxz is a plus
Strong problem-solving skills and ability to work in an applied environment

The Offer
Competitive salary and benefits
Hybrid work environment (3 days in the office)
Opportunity to work on impactful, real-world AI applications
Strong focus on technical growth and innovation with opportunity to grow within the company
Collaborative, fast-moving engineering culture

If this opportunity excites you, apply today or send your CV and a short cover letter to

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