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Machine Learning Engineer

Pubblicato il 21-09-2026 - Coesia in Emilia-Romagna

Coesia is a group of innovation-based industrial and packaging solutions companies operating globally, headquartered in Bologna, Italy, and fully owned.
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 develops artificial intelligence solutions based on cloud architecture for industrial applications, supported by a dedicated team focused on transforming these technologies into products and services for machines and production lines.
Coesia operates in 34 countries with 21 different companies and employs over 8,000 people as of 2026.
About the Role
In this versatile engineering role,



you will work on innovative technologies in the field of industrial automation, machine learning and digital solutions, supporting projects from the concept phase through to deployment in production environments.
You will contribute to the development, testing, validation and operationalization of machine learning solutions, helping transform innovative concepts into reliable and scalable products.
This position is part of the Coesia Graduate Program and offers an ideal entry into an international career. Ready for the next step after graduation? Start your career with the Coesia Graduates Program The Coesia Graduates Program is aimed at graduates and early-career professionals who want to start their careers in an international technology environment.
During the structured 2-year program, you will gain insights into different business areas and develop both professionally and personally. After successful completion of the pr

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