Senior Computer Vision Engineer
Pubblicato il 12-08-2026 - trtwo in Roma
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 CTO, Head of AI, Principal Engineer
Industry sectors
Aerospace & Defence, Information Technology, Space & Satellite
Technologies you'll work with
powered by Job Nautilus
Salary Range
35000 EUR gross/year
Job Description
Design and deploy advanced computer vision and AI pipelines for industrial and sensing applications. You will lead algorithm development from prototyping to real-world deployment.
This is a core technical role in the company. You will work on state-of-the-art vision systems applied to remote sensing, industrial inspection and environmental monitoring, taking solutions from research concept to deployed product.
Responsibilities
- Design,
develop and optimise computer vision algorithms and deep learning pipelines for sensing applications
- Lead the technical architecture of vision-based products from prototyping to production deployment
- Implement and evaluate state-of-the-art models for object detection, segmentation, classification and tracking
- Develop data processing pipelines for satellite, drone and ground-based imagery
- Collaborate with the research team on EU-funded R&D; projects involving AI and sensing
- Perform model training, validation and optimisation on real-world datasets
- Ensure code quality, documentation and reproducibility of results
- Mentor junior engineers and contribute to technical strategy
Must-have Requirements
- MSc or PhD in Computer Science, Computer Vision, Machine Learning or related field
- Minimum 4 years of professional experience in computer vision or deep learning
- Strong proficiency in Python, PyTorch or TensorFlow
- Solid experience with CNN
