Computer Vision Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/77ybfu

Experteer Overview
In this role you will implement advanced computer vision solutions to optimize Pirelli’s production processes. You will collaborate with cross-functional teams to translate AI ideas into scalable industrial applications, driving improvements in quality, efficiency and sustainability. You’ll work on end-to-end CV projects, from data collection to deployment, monitoring and continuous improvement in production environments. This is a chance to contribute to cutting‑edge technology within a global, innovation‑driven manufacturing context.
Retribuzione / Benefits
- Design and develop advanced computer vision models for production processes
- Communicate results and progress to internal and external stakeholders
- Collaborate cross-functionally to integrate AI into industrial processes and finished products
- Analyze complex datasets to identify opportunities for quality and efficiency improvements
- Deliver end-to-end AI solutions from data collection to deployment and monitoring

Responsabilità
- Master's degree in Computer Science or related fields




- Fluency in English
- Hands‑on experience with computer vision (object detection, image segmentation, anomaly detection) on industrial datasets
- 2+ years in developing and optimizing deep learning models, with CNNs and transformers
- Experience delivering end-to-end ML solutions in production environments (data collection, preprocessing, deployment, monitoring)
- Strong knowledge of MLOps (CI/CD for ML, model versioning, automated testing, performance monitoring)
- Experience with cloud platforms (AWS preferred) and scalable ML infrastructure
- Knowledge of multimodal models, Generative AI, and edge deployment

Requisiti fondamentali
- Bespoke training and development programs
- Competitive welfare and benefits package
- International mobility opportunities
- Global onboarding process
- International, engaging and supportive environment
- Career progression opportunities

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/77ybfu