Junior Computer Vision Engineer - Grow to AI Team Lead

trtwo; Roma; In loco; EUR 18.000 - 22.000; Tempo pieno

Descrizione del lavoro

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

Competenze

• 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.

Mansioni

• 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

Conoscenze

Python

Deep learning

Computer vision concepts

Git

Analytical skills

Formazione

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

Strumenti

PyTorch

TensorFlow

OpenCV

Docker

Linux

Descrizione del lavoro

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