Junior Hardware
Pubblicato il 29-10-2026 - Myveryeasy in Italia
TR2 SRLS Italian innovative SME Sectors: Indistrial Automation, BlueEconomy, In Space Operation Activities: computer vision, industrial automation, AI-powered quality control systems Techonologies: Casual/Generative AI, optical, multispectral/hyperspectral quantum sensing, machine learning, real-time analytics and customised hardware integration. Career path toward Computer Vision Engineer, Senior CV Engineer, AI Team Lead Industry sectors Aerospace & Defence, Information Technology Technologies you'll work with powered by Job Nautilus Salary Range 20000 EUR gross/year
Job Description
Support the development and testing of computer vision and data processing solutions. An ideal role to grow skills in AI, imaging and applied research within EU projects. You will work under the guidance of senior engineers on real-world applications involving satellite imagery, industrial sensors and environmental monitoring. This position offers a structured growth path in one of Europe's most exciting applied AI companies. Responsibilities Develop and test computer vision algorithms under the guidance of senior engineers Implement data preprocessing and augmentation pipelines for training datasets Run experiments, evaluate model performance and document results Assist in the development of detection,
classification and segmentation models Contribute to code reviews, unit testing and technical documentation Support data annotation and dataset curation efforts Participate in technical meetings and project reviews Must-have Requirements BSc or MSc in Computer Science, AI, Mathematics, Physics or related field Good knowledge of Python and at least one deep learning framework (PyTorch or TensorFlow) Understanding of fundamental computer vision concepts (CNNs, object detection, image classification) Familiarity with Git and collaborative software development Good analytical and problem-solving skills Nice-to-have Requirements Experience with OpenCV or scikit-image Knowledge of Linux and command-line tools Experience with Docker or containerised environments Academic projects or thesis work in computer vision or machine learning Familiarity with remote sensing data formats (GeoTIFF, NetCDF) Personal Requirements Eager to learn and grow in a challenging technical environment Curious about AI, imaging and sensing technologies Detail-oriented with a structured approach to experiments Team player who values collaboration and knowledge sharing Resilient and comfortable with iterative problem-solving