Internship - AI, Digitalization & Software Development in Product Marketing

Infineon Technologies Austria AG

KI-Zusammenfassung

Du unterstützt KI- und Digitalisierungsinitiativen im Product Marketing und entwickelst sowie testest KI-basierte Anwendungen, Automatisierungen und Softwarelösungen. Dabei hilfst du, Prozesse zu verbessern, Systeme und Datenquellen zu integrieren und Lösungen mit modernen Entwicklungspraktiken umzusetzen.

Initiatives: Support Artificial Intelligence (AI) and digitalization initiatives within Product Marketing and help foster an AI-oriented and digital mindset across the team

Solutions: Develop and prototype AI-based applications, agents, automations and software solutions, translating Product Marketing requirements and ideas into practical technical solutions

Process Improvement: Identify Product Marketing processes that can be simplified, automated or improved through AI and evaluate new AI technologies for their potential applications in Product Marketing

Development Practices: Apply agentic coding approaches and AI-supported development tools such as GitHub Copilot and work with modern software development practices, including continuous integration and continuous delivery (CI/CD) pipelines

Integration: Support the integration of different data sources, tools and systems

Delivery: Support the development, testing and deployment of solutions

Education: Currently studying Computer Science, Artificial Intelligence and Robotics, Systems Engineering, Software Engineering or a comparable technical field

Technical Skills: Good understanding of software development and good knowledge of multiple programming languages

Interests: Strong interest in combining technology with business and Product Marketing applications, as well as in Artificial Intelligence, Generative AI and agentic AI

Practical Experience: Ideally, first experience with AI-supported coding tools such as GitHub Copilot; a basic understanding of software deployment and CI/CD pipelines is an advantage

Working Style: Hands-on, curious, and AI-oriented approach; able to understand business problems and translate them into technical solutions; independent and structured working style

Availability: Ideally interested in staying with the team alongside their studies until graduation

Language Skills: Good English skills

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