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 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

#J-18808-Ljbffr

📌 Senior Computer Vision Engineer (Roma)
🏢 trtwo
📍 Roma