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Crea una Job Alert gratuita per machine learning engineer - ypp (graduate program) / città metropolitana di bologna

Machine Learning Engineer - YPP (Graduate Program)

Pubblicato il 29-08-2026 - Coesia in Città Metropolitana di Bologna

About the Company A group of innovation-based industrial and packaging solutions companies operating globally, headquartered in Bologna, Italy.

Coesia’s companies are leaders in automation solutions for multiple industries, ranging from automated processing and packaging machinery, testing and vision systems, to digital printing technologies, factory flow solutions and high-performance transmissions.

Our customers include leading players in a wide range of sectors, including aerospace, automotive, consumer and luxury goods, ceramics, electronics and semiconductors, pharma and healthcare, energy storage systems, tobacco and next-generation products.

Coesia operates in 34 countries with 21 different companies and employs over 8,000 people as of 2026.

About the Role The AI technology and related applications are evolving at an unprecedented pace.

Our business needs include enhancing the effectiveness of engineering processes and integrating AI technology into our products and services.

Did you recently graduate in a STEM field and are you passionate about Artificial Intelligence?

Are you ready to embark on an extraordinary journey that will shape your career?

The Coesia Young Professional Program (YPP) is a dedicated learning and development path for fresh graduates, designed to support your first career steps within a leading global organization through a structured 2-year program. In this role, you will contribute to cutting-edge AI research and applied innovation, supporting the development of prototypes, proofs of concept and minimum viable products to bring Artificial Intelligence into industrial engineering solutions.

Why should you apply?

- Real-world projects with impact : you will collaborate with like-minded peers and tackle challenging projects, developing cutting-edge technology solutions, learning on the job since day one
- Professional development and training :



you will enhance your technical and soft skills through dedicated learning & development initiatives
- Mentorship by industry leaders: you will gain invaluable insights from seasoned professionals who have successfully paved their paths in the engineering landscape
- Networking opportunities: you will forge lifelong connections with fellow engineers and industry experts, enabling you to establish meaningful relationships that will propel your career forward
- Recognition and reward : your contribution will be recognized. Coesia Young Professional Program rewards those who consistently strive for excellence.

What You Need to Be Successful

- Master's Degree in Engineering, Computer Science, Data Science or other STEM disciplines
- Up to 18 months of professional experience, including internships, thesis projects, research activities, academic projects
- Good knowledge of Python and software development principles
- Basic understanding of Machine Learning concepts
- Curiosity towards Generative AI and Large Language Models (LLMs)
- Knowledge of cloud platforms, Git, CI/CD, APIs or containers (e.g. Docker) is a plus
- Fluency in English is mandatory
- Innate aptitude for teamwork
- Excellent communication skills

Our Offer

- A highly technological and stimulating environment focused on innovation, experimentation and applied research
- Market competitive compensation and flexible working time and location
- An attractive welfare package
- A diverse and inclusive work environment aligned with Coesia values

Compensation for this role includes a base salary ranging from EUR 33,000 to EUR 37,000. A range of additional benefits (e.g., insurances, etc.) is also available in accordance with Company policy.

The applicable collective agreement is the CCNL Metalmeccanico.

Join the Team!

Coesia is an equal opportunity employer. We believe in fair, merit-based recruitment and assess all candidates exclusively on the basis of their qualifications, skills, experience and suitability for the role.

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