Internship – AI Specialist Factory Integration Full-time

The student will help support enable AI capacity into Infineon manufacturing to reduce cost and increase efficiency through understand business requirement, develop and deploy AI solution on cloud platform.

Job description:

Job Description
In your new role you will:

• Collaborate with stakeholders to gather and analyze business requirements for AI Use Case
• Document the business requirements clearly and concisely, ensuring they align with the overall project goals
• Assist in the development and deployment on AI solution into ODIN (Infineon FI AI framework) and FI Application Ecosystem.
• Write clean, efficient, and well-documented code to support whole AI solution
• Assist in the solution coding migration required by department solution standardization principle
• Involve in team GenAI project ideation and provide proposal with possible way forward
• Conduct research on the latest advancements in Generative AI and identify innovative methodology applied in the project.
• Assist team to develop a project plan and timeline, outlining key milestones and deliverables. In addition, coordinate with team members to ensure the project stays on the track

Internship learning outcomes:

• Develop an understanding of the semiconductor manufacturing domain knowledge
• Understand how to accurately translate requirements into technical specifications
• Experience how ML DevOps is conducted in AI project in real work
• Experience and explore how to build up GenAI solution to solve existing pain point

Your Profile:

Your Profile
You are best equipped for this task if you are/have:

• Currently enrolled in a Bachelor’s or Master’s degree program in Computer Science, Data Science, Artificial Intelligence, or a related field
• Strong understanding of software development and Large Language Model (LLM) and principles
• Proficiency in programming languages such as Python, Java, or similar
• Experience with GenAI development platform like Dify or similar
• Experience with deployment of containerized application like Kubernetes or Docker
• Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Keras
• Strong communication skills to effectively document business requirements and present findings
• Ability to work independently as well as collaboratively in a team environment

Why Us:

#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.
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.