AI Computer Vision Intern: Image Processing & Modeling

Infineon Technologies; Singapore; On-site; SGD 8,928 - 17,856; Part time

Job summary

Infineon Technologies Singapore offers an internship to help expand Deep Learning AI models for image segmentation, classification, and quantification using production data. You will expand, curate, and annotate image datasets to support supervised learning workflows.

You will gain hands-on experience across the AI lifecycle, from data preparation to deployment, and contribute to real industrial digitalisation projects while building your portfolio in AI and data science.

Qualifications

• Pursuing a Bachelor's degree in a technical field with strong aptitude for Data Science, ML, AI.
• Familiarity with the AI/ML model development lifecycle (data prep, training, validation, deployment, labeling, optimization).
• Solid knowledge of Computer Vision and image processing concepts.
• Proficiency in Python and libraries such as OpenCV, PyTorch, and TensorFlow.

Responsibilities

• Expand Deep Learning AI models for Image Segmentation, Classification, and Quantification with production data.
• Expand, curate, and maintain image datasets for model training and validation.
• Perform image labeling to support supervised learning workflows.
• Develop image augmentation pipelines to improve dataset diversity.
• Evaluate model performance and optimise accuracy, reliability, and inference efficiency.

Skills

Deep Learning

Python programming

Computer Vision

Image Processing

AI lifecycle familiarity

Education

Bachelor's degree related to Computer Engineering / Data Science / CS / AI / Electrical & Electronic Engineering

Tools

OpenCV

PyTorch

TensorFlow

Job description

Infineon Technologies Singapore offers an internship to help expand Deep Learning AI models for image segmentation, classification, and quantification using production data. You will expand, curate, and annotate image datasets to support supervised learning workflows.

You will gain hands-on experience across the AI lifecycle, from data preparation to deployment, and contribute to real industrial digitalisation projects while building your portfolio in AI and data science.