Manufacturing Digitalization Intern — AI & Automation

EssilorLuxottica

Rovereto

Remote

EUR 6,700 - 10,000

Full time

2 days ago

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Benefits offered by this job

Company canteen access

Leonardo learning platform

Job summary

EssilorLuxottica in Rovereto (TN) is offering a Manufacturing Quality Engineer Internship. You will join the Manufacturing Engineering team to drive digitalization and Industry 4.0 initiatives, shaping smarter manufacturing, logistics, and operations through data-driven solutions.

The role emphasizes developing dashboards, analytical tools, and innovative digital applications to improve plant performance. Fluent Italian and English are required; curiosity and proactive collaboration are

Qualifications

Bachelor’s or Master’s Degree in relevant engineering/IT fields.
Interest in Industry 4.0, AI and manufacturing digitalization.
Basic knowledge of data analysis and improvement methodologies.
Familiarity with digital tools, databases, reporting systems or programming languages.
Fluent Italian and good command of English.
Curiosity, willingness to learn, creativity and analytical thinking.
Proactive, collaborative and results-oriented with continuous improvement passion.

Responsibilities

Contribute to the digital transformation of the manufacturing plant by developing and implementing innovative digital solutions.
Identify opportunities to improve operational efficiency through digital tools, automation, and Industry 4.0 technologies.
Collaborate with Production, Automation, and Business Process Improvement (BPI) teams to drive digitalization initiatives.
Gather business requirements from operational stakeholders and translate them into effective digital solutions.
Support the implementation of digital projects aimed at enhancing manufacturing, logistics, and operational processes.
Analyze manufacturing and operational data to support performance monitoring and data-driven decision-making.
Develop and maintain dashboards, reports, and digital tools for plant operations.
Contribute to the digitalization of workflows, processes, and information management systems.
Explore and promote innovative technologies, including AI-based applications, to improve plant performance.
Support continuous improvement initiatives through data analysis, automation, and digital innovation.