Computer Vision And Ai Engineer

Within the Deployment Unit, we are looking for a Computer Vision and AI Engineer to develop production‑ready AI solutions for industrial applications. This is a hands‑on role for someone with strong coding skills , solid experience in Deep Learning and Computer Vision , and the ability to translate complex visual AI problems into reliable, scalable systems .

The role focuses on areas such as visual recognition, quality inspection, segmentation, and video analytics . The candidate will work across the full lifecycle : experimental design, model implementation, training, evaluation, optimization, deployment, and production support.

You will work closely with:

• Deployment and Data Science team , delivering production‑grade ML systems
• Research units , to industrialize promising use cases emerging from applied research
• Industrial partners , ensuring solutions meet real operational needs and performance targets

• Scope projects and their technical feasibility through client interaction
• Design and develop computer vision and deep learning solutions for industrial applications such as anomaly detection, object recognition, segmentation, tracking, and large‑scale video analytics.
• Build robust AI pipelines for data preprocessing, annotation, model training, validation, inference, and monitoring.
• Evaluate model performance using appropriate technical and business metrics, considering accuracy, latency, robustness, scalability, and deployment feasibility.
• Develop high‑quality software by leveraging AI tools and using sound engineering practices, including Git, testing, debugging, containerization, CI/CD, and deployment automation.

• Master’s degree in Computer Science, Engineering, Physics or related;
  PhD a plus.
• Strong proficiency in Python and deep Learning (e.G., PyTorch ).
• Hands‑on experience with at least part of the following areas: object detection, image segmentation, object tracking, image/video classification, anomaly detection, or visual inspection applied to industries, logistics or robotics.
• Use agentic AI‑assisted coding workflows (e.G., Claude Code, Codex) daily to speed up development and fill knowledge gaps.
• Experience working with large‑scale image and/or video datasets and designing reproducible experimental setups.
• Strong software engineering mindset and ability to support the full lifecycle from prototype to production deployment.
• Experience with vision‑language models (VLM), synthetic data or multi‑stage model (detection, segmentation, 3D pose estimation) for robotics.
• Expertise in one or more of the following cloud providers : Google Cloud Platform, AWS, Azure.
• Proficiency in English .

• Experience deploying and optimizing real‑time inference on GPU/CUDA , edge devices or cloud platforms.
• Experience with industrial AI , quality control, logistics, robotics.
• Proficiency in Italian .

• Access to our advanced computing infrastructure
• A team with engineers and researchers working together on real industrial AI deployments
• Chance to co‑author papers for top‑tier conferences like NeurIPS, ICML, CoRL, and RSS
• Exposure and collaboration with a huge network of corporates, SMEs, startups and technology partners
• An exceptional workplace at OGR, Turin at the epicenter of tech
• Lots of learning opportunities : IAS, internal Academy, budget for events, conferences and online courses
• Relocation incentives and competitive benefits package (including potential tax advantages for international candidates, where applicable)