Senior Computer Vision Engineer

trtwo; Roma; In loco; EUR 30.000 - 42.000; Tempo pieno

Descrizione del lavoro

TR2 SRLS is seeking a talented computer vision/ML engineer in Rome to design and deploy advanced CV and AI pipelines for industrial and sensing applications. You will lead algorithm development from prototyping to real-world deployment.

This core technical role focuses on remote sensing, industrial inspection, and environmental monitoring, taking research concepts to deployed products while mentoring junior engineers.

Competenze

• MSc/PhD in Computer Science, CV, ML or related field.
• 4+ years in computer vision or deep learning.
• Strong Python and ML framework expertise (PyTorch or TensorFlow).
• Experience with CNNs, transformers and detection/segmentation frameworks.
• Experience deploying ML models in production environments.
• Familiarity with MLOps (Docker, CI/CD, model versioning).

Mansioni

• Design, develop and optimise computer vision algorithms for sensing applications.
• Lead the technical architecture of vision-based products from prototype to production.
• Implement and evaluate models for detection, segmentation, classification and tracking.
• Develop data pipelines for satellite, drone and ground imagery.
• Collaborate 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; mentor engineers.

Conoscenze

Python

PyTorch or TensorFlow

CNN architectures

Transformers

Production ML deployment

MLOps

Formazione

MSc or PhD in Computer Science, Computer Vision, ML or related field

Strumenti

Docker

CI/CD

Model versioning

Descrizione del lavoro

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