Internship - AI Research, Development, and Implementation in Wafer Technology

About the Role

The role focuses on developing and deploying Artificial Intelligence (AI) solutions to support smart manufacturing and wafer test operations. You will collaborate with engineering teams to research, build, implement, and optimize AI-driven applications using tools such as Python, machine learning frameworks, and computer vision techniques. The goal is to improve production efficiency, strengthen equipment reliability, and enhance manufacturing intelligence, while gaining hands-on exposure to real-world AI deployment practices

Key responsibilities in your new role

• Education: Pursuing a Bachelor's, Master's, or PhD degree in Computer Engineering, Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, Electronics Engineering, or a related field
• Programming Skills: Knowledge of Python programming and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• AI & Computer Vision: Familiarity with Computer Vision, Deep Learning, and Image Processing techniques
• Software Development: Understanding of software development lifecycle, version control systems (Git/GitLab), and coding best practices

Qualifications and skills to help you succeed

• Education: Pursuing a Bachelor's, Master's, or PhD degree in Computer Engineering, Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, Electronics Engineering, or a related field
• Programming: Knowledge of Python programming and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• AI/ML Techniques: Familiarity with Computer Vision, Deep Learning, and Image Processing techniques
• Software Development: Understanding of software development lifecycle, version control systems (Git/GitLab), and coding best practices
• Data Analytics: Knowledge of data analytics tools such as KNIME is an advantage
• Emerging Technologies: Exposure to MLOps, cloud-based AI platforms, or LLM technologies is a plus