Computer Vision and Machine Learning Engineer

Computer Vision and Machine Learning Engineer

European Recruitment are working closely with an exciting Computer Vision start-up, based in Bressanone, who are looking for a talented Computer Vision and Machine Learning Engineer to join their team.

In this role you will focus on developing and applying CVML algorithms used in vision sensors for industrial printing systems to tackle defect detection.

Responsibilities as Computer Vision and Machine Learning Engineer:

• Convert state-of-the-art research to reliably working prototypes and keep up-to-date with the latest computer vision and deep learning developments.
• Play a key role in identifying the limitations of state-of-the-art research in relation to industry needs, as well as addressing them through focused development.
• Design and develop components of multi-sensor computer vision systems to handle complex scenarios of production, inspection, quality control, and other industrial processes.
• Customize and train the latest deep learning model architectures to handle complex scenarios of production, inspection, quality control, and other industrial processes.
• Help bring these developments to product launches.

Requirements:

• Master’s degree in computer science or related field.
• 2+ years of work experience in a tech company, start-up or research lab in the field of CVML
• Experience in coding computer vision and machine learning algorithms in C++ and hands-on experience with computer vision and deep learning frameworks such as OpenCV and PyTorch/Tensorflow.
• Experience with coding, debugging, profiling, versioning systems (e.g. Git) tools.
• Understanding of computer vision algorithms and ability to implement them with coding best practices.
• Ability to deep-dive into research papers, down to a technical depth required to translate them into code using both existing toolkits and self-developed code.

If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.

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