- Location
- SG
- Type
- Full-time
- Seniority
- Internship
- Education
- Bachelor
- Source
- Eightfold
Description
The student will be responsible for expanding AI models, building image datasets, and improving model performance through testing and optimisation activities.
Your Role
Key responsibilities in your new role
- Deep Learning Model Expansion: Support the expansion of Deep Learning AI models for Image Segmentation, Classification, and Quantification use cases with the latest production data.
- Deep Learning Dataset Expansion: Expand, curate, and maintain image datasets for model training and validation.
- Data Labelling: Perform image annotation and data labelling to support supervised learning workflows.
- Image Augmentation: Develop image synthesis and augmentation pipelines to improve dataset diversity with newer data.
- Model Testing: Evaluate model performance using appropriate metrics and validation methodologies; perform model testing, benchmarking, and optimisation to improve accuracy, reliability, and inference efficiency.
Internship Learning Outcomes:
- Applied Deep Learning: Gain hands-on experience building and optimising AI Computer Vision solutions for real industrial applications.
- Model Development End-to-End: Gain exposure to the full AI development lifecycle and application of deep learning in Engineering use cases.
- Real World Use Cases: Contribute to impactful digitalisation initiatives and strengthen your portfolio in AI and Data Science.
Your Profile
Qualifications and skills to help you succeed
- Educational Background & Discipline: Currently pursuing a Bachelor's degree in Computer Engineering, Data Science, Computer Science, Artificial Intelligence, Electrical & Electronic Engineering, or a related technical discipline with strong aptitude and interest in Data Science, Machine Learning, and Artificial Intelligence.
- AI Proficiency: Familiarity with the AI/ML model development lifecycle, including data preparation, model training, validation, deployment, dataset annotation, image labelling techniques, and optimisation.
- Image Processing Skillset: Solid knowledge of Computer Vision and Image Processing concepts.
- Programming Proficiency: Proficiency in Python programming with familiarity in popular image processing and AI libraries such as OpenCV, PyTorch, and TensorFlow.
- AI Model Exposure: Exposure to Deep Learning architectures such as CNNs, U-Net, EfficientNet, or related Computer Vision models and image use cases including classification, segmentation, and detection.
- Image Augmentation Understanding: Knowledge of data augmentation, synthetic data generation, or Generative AI techniques is a plus.
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.
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