TR2
TR2 is an innovation-driven SME specialised in applied AI, robotics integration, geospatial intelligence and digital platforms for industrial manufacturing, Blue Economy and agri-tech use cases.
WWW.TRTWO.IT ↗
Published on February 4, 2026
Senior Computer Vision Engineer
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)
- Excellent English (C1+)
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