Job Description

This position reports to the BE IE ADA Data Scientist Manager and mainly working on sustaining and improving AI applications. Trainee will gain hands-on experience in maintaining, fine-tuning, and optimizing deep learning models for production applications. The intern will play a key role to ensure reliability, scalability, and performance of existing AI systems while exploring opportunities for continuous development and enhancement
Your Role
Key responsibilities in your new role

• Existing use case sustenance: establish performance monitoring metric for deploy AI models to ensure accuracy and reliability in production environments.
• Identify potential issues or deviations and implement necessary adjustments such as re-training or model fine-tuning
• Enhance AI workflows: Refine datasets and improve data preprocessing pipelines to ensure robust model performance
• Evaluate and validate models: benchmark AI models against KPIs and validate model outputs to ensure adherence to business requirements and mitigate risks
• Collaboration and knowledge-sharing: work closely with cross-functional teams to sustain current AI applications and align with business needs
• Research and development: explore & suggest tools, techniques and technologies to further improve model performance
• Support scaling effort: contribute to the deployment and scaling of AI models across processes and sites

Internship Learning Outcome:

• Hands-on experience maintaining and improving production AI systems
• Exposure to end-to-end workflows: data pipelines, model training/tuning, validation, deployment, and monitoring
• Mentorship from experienced data scientists and collaboration with cross-functional partners
• Opportunity to influence real business outcomes through reliable and scalable AI solutions

Your Profile
Qualifications and skills to help you succeed

• On track to attaining Masters/Bachelors/Diploma in Natural Science, Computer Science, Data Science, Statistics, Mathematics, or equivalent fields
• Preferably able to commit to internship period of Mar 26 - Aug 26
• Basic to intermediate knowledge of machine learning and image classification techniques (e.g., CNNs, transfer learning, etc.)
• Familiarity with tools such as Python, TensorFlow, PyTorch, or similar machine learning frameworks
• Experience with image processing libraries like OpenCV, Pillow, or scikit-image is a plus
• Familiarity with any version control system (e.g., Git) and cloud platforms (e.g., AWS, Azure, or Google Cloud) is a bonus

#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 applicants 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.

Skills Required