Job Description
In your new role you will:- AI Agent & Workflow Development: Design and prototype intelligent AI agents and orchestrate complex workflows to solve real-world supply chain challenges.
- System Integration & API Development: Support the engineering of APIs and applications that seamlessly integrate AI solutions with existing internal enterprise systems.
- Data Engineering & Automation: Develop and maintain robust data pipelines and automation scripts using Python and SQL to ensure data integrity and efficiency.
- Data Analysis & Modeling: Perform advanced data analysis and modeling to derive actionable operational insights that drive decision-making.
- Stakeholder Visualization: Create compelling dashboards and reports using Power BI or Tableau to communicate key findings to management and operational teams.
- Practical AI Implementation: Gain hands-on experience deploying AI agents and orchestration frameworks within authentic supply chain use cases.
- End-to-End Data Product Lifecycle: Develop a comprehensive understanding of data product development, spanning from data engineering and modeling to deployment and visualization.
- Cross-Functional Collaboration: Work alongside diverse teams to contribute to shared project objectives, enhancing your ability to navigate complex organizational structures.
- Global Corporate Exposure: Immerse yourself in the dynamics of a global multinational corporation, understanding best practices in scale and compliance.
- Communication & Presentation: Sharpen your professional communication skills by presenting technical project outcomes and strategic insights to non-technical stakeholders.
Your profile
You are best equipped for this task if you have:- Academic Background: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related field.
- Core Technical Proficiency: Strong proficiency in Python and SQL, with demonstrated experience in data manipulation libraries such as Pandas and NumPy.
- AI & Machine Learning Interest: Demonstrates a passion for AI/ML, with advantageous exposure to Large Language Models (LLMs) or agent frameworks like LangChain, LlamaIndex, or Azure/OpenAI ecosystems.
- Software Development Familiarity: Preferred experience with full-stack development tools including React, JavaScript, and CI/CD pipelines.
- Data Visualization Skills: Desirable familiarity with business intelligence tools such as Power BI or Tableau for creating interactive reports.
- Engineering Best Practices: Strong documentation habits and proficiency with version control systems like Git are highly beneficial.
- Internship Duration: Preferred period is November/December 2026 through May/June 2027.
Contact:
Hillary Woo
#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.
Click here for more information about Diversity & Inclusion at Infineon.
Kontaktdaten:
Infineon Technologies Austria AG Recruiting-Team
