Artificial Intelligence Intern
Pubblicato il 20-09-2026 - PUNCH Torino in Torino
AI Internship (Industrial AI & Digital Tools)
⚠️ Please read before applying – Eligibility requirements
- This internship opportunity can be activated as either a curricular internship (for students currently enrolled in a Bachelor’s or Master’s degree, with an internship agreement through your university) or an extracurricular internship (for candidates who graduated no more than 12 months ago) — in Computer Science, AI, Engineering, or related fields
- Location: Torino (Corso Castelfidardo 36). No relocation support; candidates must be able to work on-site in Turin
- Python programming skills are mandatory — applications without demonstrable Python experience will not be considered
- Applications from candidates who do not meet the above requirements will be automatically declined
Job Description
We are looking for students willing to join an internship programme within Dumarey Automotive Italia focused on turning advanced AI into practical IT tools supporting industrial processes.
You will work in a dynamic team that values smart solutions, fast execution,
and a proactive mindset. The internship offers the opportunity to apply cutting-edge AI technologies to real industrial challenges, combining experimentation with tangible impact.
Workplace: Corso Castelfidardo 36, Torino – max 50% remote
Internship remboursement: 600€/month (thesis/curricular internship) - 800€/month (postgraduate internship)
Projects – High-Level Overview
The internship will focus on the application of advanced AI technologies to industrial environments, with two main streams:
Computer Vision for Industrial Processes
- Design and develop AI-based tools to deal with topics similar to the following:
- Defects on production lines
- Issues at the end of testing activities
- Incorrect assembly of components in complex systems
- Work under realistic industrial constraints such as variable lighting, high throughput, and heterogeneous data sources
- Contribute to the development of scalable and depl