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AI Portfolio Manager 'Machine Vision' at Backend
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AI Portfolio Manager 'Machine Vision' at Backend

Infineon Technologies AG -
Regensburg

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Details zur Stelle

Festanstellung | Vollzeit

Qualifikationen

Informatik
Master
Bachelor
Portfoliomanagement
Produktion
Künstliche Intelligenz
Führungserfahrung
Data Science

Vollständige Stellenbeschreibung

We are looking for a passionate and experienced AI Portfolio Manager for Machine Vision to join our growing AI organization. In this strategic yet hands-on role, you will own and drive the Machine Vision AI portfolio across our Backend manufacturing sites — from identifying high-impact use cases to scaling proven solutions globally. You will sit at the intersection of technology, operations, and strategy, working closely with data science experts, site leads, and fellow AI portfolio managers to deliver measurable value through cutting-edge machine vision solutions.

Your Role

Key responsibilities in your new role

Own the Machine Vision AI portfolio across all Backend sites, including full accountability for implemented solutions and generated savings
Develop and maintain a strategic roadmap of machine vision use cases, specifically designed for scalability across multiple production sites
Align with AI Site Leads to define and execute structured roll-out plans, ensuring smooth deployment and adoption on the shopfloor
Govern the entire use case portfolio — from ideation and business case validation through to implementation and performance tracking
Initiate and drive scaling projects, replicating successful solutions across sites to maximize impact
Collaborate with Data Science expert groups to shape product and technology roadmaps, bringing operational context to technical development
Partner with other AI Sub-Portfolio Managers to co-develop new methods, tools, and best practices that strengthen the broader AI organization

Your Profile

Qualifications and skills to help you succeed

Master's / Bachelor's degree in engineering, data science, computer science, industrial engineering, or a related scientific or technical field
8+ years of professional experience, with a track record of delivering results in industrial or manufacturing environments
Close-to-shopfloor experience at a backend production site — for example, as a Unit Process Engineer, Process Development Engineer, or similar operations role — giving you a strong understanding of real-world manufacturing challenges
Hands-on experience with AI-based image processing solutions, including familiarity with machine vision systems, defect detection, optical inspection, or related applications
Strong strategic thinking combined with a pragmatic, execution-focused approach
Ability to translate business needs into technical requirements and vice versa
Excellent stakeholder management and communication skills — equally comfortable presenting to senior leadership and discussing technical challenges with data scientists or engineers
Experience in project or portfolio management, including prioritization and business case development
Collaborative team player who thrives in a cross-functional, global environment

#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
Are you in?

We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

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Erweiterte Suche

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