AI Internship
Pubblicato il 15-08-2026 - PUNCH Torino in Torino
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; a thesis project can be part of the package) 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 4 students willing to join an internship program 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 reimbursement: 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 deploy