10 set - Bologna
Coesia
About the Company 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. 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. The program targets graduates and early-career professionals with up to 18 months of relevant professional experience.
Why Coesia Graduates
Program? Work on challenging projects with a direct impact on innovative technology solutions Targeted professional and personal development through training and development programs Mentorship from experienced specialists and leaders Build an international network within the Coesia Group Attractive development opportunities in a global environment Support the development and deployment of Machine Learning solutions Contribute to model monitoring, performance tracking and data quality management Support MLOps activities including model versioning,
CI/CD and deployment automation Collaborate with software engineers and AI specialists to transition ML solutions from development into production Contribute to cloud-based ML environments and infrastructure Participate in testing, validation and continuous improvement of ML solutions Help define best practices for reliability, maintainability and scalability of ML systems Master’s Degree (or final year student) in Computer Science, Artificial Intelligence, Data Science, Computer Engineering or related fields Solid foundations in Machine Learning and statistics Good programming skills in Python Basic understanding of software engineering principles and version control systems (Git) Interest in cloud technologies and machine learning deployment workflows Willingness to learn and grow in an international environment Exposure to MLOps concepts and tools (MLflow, Docker, Kubernetes, CI/CD) Exposure to Generative AI, LLM-based or agent-based applications Familiarity with cloud platforms such as Azure, AWS or GCP Academic or personal projects related to Machine Learning deployment and operations Familiarity with time-series or industrial data is considered a plus A highly technological and stimulating environment focused on innovation, experimentation and applied research Market competitive compensation and flexible working time and location Compensation for this role includes a base salary starting from EUR 33000, in line with experience. A range of additional benefits (e.g., is also available in accordance with Company policy.
The applicable collective agreement is the CCNL Metalmeccanico. 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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