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Machine Learning Engineer

Pubblicato il 28-10-2026 - Lean Six Sigma Black Belt in Bologna

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.

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 program, there is the opportunity for long-term employment at Coesia. 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
- We promote diversity and equal opportunities and welcome applications from motivated talents from all backgrounds

Main responsibilities:
- 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

What You Need to Be SuccessfulKey Skills
- 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
- Strong analytical and problem-solving skills
- Willingness to learn and grow in an international environment
- Excellent communication and teamwork skills
- Continuous learning mindset

Preferred Qualifications:
- 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

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 starting from EUR 33000, in line with e

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