Junior Computer Vision Engineer

trtwo; Roma; On-site; EUR 18,000 - 22,000; Full time

Job summary

TR2 SRLS, an Italian innovative SME, is seeking a Computer Vision Engineer to join our EU projects in aerospace, environmental monitoring and industrial automation. You will work under senior engineers to develop CV solutions and data processing pipelines, gaining hands-on experience in real-world AI systems.

Ideal candidates hold a BSc/MSc in CS/AI/Math/Physics, are proficient in Python and PyTorch or TensorFlow, and are comfortable collaborating with cross-functional teams to drive experiments

Qualifications

• BSc or MSc in Computer Science, AI, Mathematics, Physics or related field.
• Strong Python knowledge and a deep learning framework (PyTorch or TensorFlow).
• Solid understanding of CNNs, object detection and image classification.
• Familiarity with Git and collaborative software development.
• Good analytical and problem-solving skills.
• Nice to have: OpenCV, scikit-image experience.

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

Skills

Python

Deep learning

Computer vision concepts

Git

Analytical skills

Education

BSc/MSc in Computer Science, AI, Mathematics, Physics or related field

Tools

PyTorch

TensorFlow

OpenCV

Docker

Linux

Job description

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

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 toolsExperience 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