Digital Management & AI Intern

Luxottica; Rovereto; In loco; EUR 8900 - 13.000; Tempo pieno

Vantaggi offerti da questo lavoro

Canteen access

Leonardo learning platform

Descrizione del lavoro

EssilorLuxottica seeks a motivated graduate with an engineering or IT background to join a strategic project in Rovereto. You will capture and structure manufacturing know-how, transforming expertise into digital knowledge and training resources via company-approved AI solutions.

You will collaborate with Manufacturing Engineering, Production and Automation to identify knowledge gaps and support digital learning tools across the plant. English proficiency is required.

Competenze

• Bachelor's or Master's degree in engineering, computer science, IT, automation or mechatronics.
• Strong interest in industrial technologies and digital transformation.
• Passion for AI and digital tools in business processes.
• Basic knowledge of knowledge management, process mapping or documentation.
• Willingness to create structured content and training materials.
• English language skills and collaboration with experts.

Mansioni

• Collect and map technical know-how from process experts and plant staff.
• Structure operational knowledge into standardized formats.
• Develop digital content, guidelines and training materials.
• Collaborate with engineering, production and automation teams.
• Support centralized knowledge repositories and digital documentation.
• Contribute to AI-based knowledge management solutions.
• Analyze processes and propose improvements for knowledge sharing.
• Support digitalization of content, procedures and best practices.
• Assist continuous improvement initiatives in training and onboarding.

Conoscenze

Analytical thinking

Excellent communication

English proficiency

Interpersonal skills

Curiosity and proactive attitude

Formazione

Bachelor's or Master's in Engineering/IT/Automation

Strumenti

AI awareness

Digital learning tools

Descrizione del lavoro

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If you’ve worn a pair of glasses, we’ve already met.

We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products (such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions), iconic brands that consumers love (such as Ray-Ban, Oakley, Persol, Oliver Peoples, Vogue Eyewear and Costa), as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences (such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network), and leading e-commerce platforms.

Join our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry.

We are looking for a motivated graduate with a technical, engineering, or IT background who is passionate about industrial technologies, digital innovation, and Artificial Intelligence. Based in Rovereto, you will contribute to a strategic project aimed at capturing, structuring, and enhancing the technical know-how of the manufacturing plant, transforming operational expertise into accessible digital knowledge and training resources through company-approved digital and AI solutions.

Main Responsibilities

• Collect and map technical know-how from process experts, technicians, and key plant stakeholders.
• Structure and organize operational knowledge into standardized and easily accessible formats.
• Develop digital content, guidelines, procedures, and training materials to support knowledge sharing.
• Collaborate with Manufacturing Engineering, Production, and Automation teams to identify critical knowledge areas.
• Support the creation and maintenance of centralized knowledge repositories and digital documentation systems.
• Contribute to the implementation of AI-based solutions for knowledge management and information retrieval.
• Analyze existing processes and propose innovative approaches to preserve and disseminate technical expertise.
• Facilitate the digitalization of technical content, operating procedures, and best practices.
• Support continuous improvement initiatives related to training, onboarding, and operational excellence.
• Promote knowledge-sharing culture and support the adoption of digital learning tools across the plant.

Main Requirements

• Bachelor's or Master's Degree in Engineering, Computer Science, Information Technology, Automation, Mechatronics, or related technical disciplines.
• Strong interest in industrial technologies, manufacturing processes, and digital transformation.
• Passion for Artificial Intelligence and digital tools applied to business processes.
• Basic understanding of knowledge management, process mapping, or technical documentation principles.
• Interest in creating structured content, training materials, and digital learning resources.
• Familiarity with data management, collaboration platforms, or digital content tools is considered a plus.
• Good command of English.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and interpersonal skills, with the ability to interact with technical experts.
• Curiosity, creativity, and a proactive attitude toward innovation and continuous improvement.

What’s in it for you

In EssilorLuxottica, you are not defined just by your job title. Each career adventure is unique, but have a glimpse of the benefits and perks you can have by choosing us.

1. A fast paced environment, where you will start giving your mark from day 0
2. Access to our company's canteen
3. Access to Leonardo, our learing platform

Our recruitment process may vary; If you are selected, you will be contacted by our recruiters to guide you through the specific steps for your application

Your #FutureInSight with EssilorLuxottica

Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world? Join us in redefining the boundaries of what’s possible.

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