Senior Computer Vision Engineer
Pubblicato il 16-10-2026 - 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
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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 architectures, transformers and modern detection/segmentation frameworks
- Experience deploying ML models in production environments
- Familiarity with MLOps practices (Docker, CI/CD, model versioning)
Nice-to-have Requirements
- Experience with remote sensing or satellite imagery analysis (SAR, multispectral, hyperspectral)
- Knowledge of 3D vision, point cloud processing or SLAM
- Experience with edge deployment (NVIDIA Jetson, ONNX, TensorRT)
- Publications in top-tier venues (CVPR, ECCV, ICCV, NeurIPS)
- Experience with EU-funded research projects
Personal Requirements
- Deep technical expertise combined with practical engineering mindset
- Passionate about pushing the boundaries of applied AI
- Self-driven and able to work independently on complex problems
- Strong communicator who can explain technical concepts to non-technical stakeholders
- Committed to code quality and best practices
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