Junior Computer Vision Engineer
Pubblicato il 30-10-2026 - Myveryeasy in Cagliari
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
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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
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