AI Intern: Computer Vision & Anomaly Detection

Coherent; Singapore; On-site; SGD 17,000 - 28,000; Full time

Job summary

II-VI UK, Ltd. in Singapore is seeking a motivated student/graduate to contribute to AI-driven vision inspection and anomaly detection projects. This on-site role offers hands-on experience in developing and implementing ML models, and collaborating with a team to deploy solutions in production.

You will work primarily with Python, C++, and C#, gain exposure to TensorFlow, PyTorch, and YOLO, and participate in data preprocessing, model training, and performance analysis under guidance.

Qualifications

• Pursuing or completed Bachelor's or Master's in CS/Engineering.
• Strong Python, C++, and C# skills.
• Exposure to ML basics and computer vision techniques.
• Experience with ML libraries is a plus.

Responsibilities

• Assist in designing and implementing AI models for vision inspection and anomaly detection tasks.
• Write, test, and maintain code in Python, C++, C#, and other relevant languages.
• Develop and implement machine learning algorithms.
• Train and fine-tune ML models for image processing and anomaly detection.
• Collaborate with the team to optimize algorithms and integrate AI solutions into production environments.
• Conduct data preprocessing, augmentation, and analysis to improve model performance.
• Support the development of documentation and technical reports on findings and system performance.

Skills

Python

C++

C#

ML basics

CV techniques

TensorFlow

PyTorch

YOLO

Scikit-learn

Teamwork

Initiative

Education

Bachelor's or Master's in CS/Engineering

Tools

YOLO

TensorFlow

PyTorch

Scikit-learn

Job description

II-VI UK, Ltd. in Singapore is seeking a motivated student/graduate to contribute to AI-driven vision inspection and anomaly detection projects. This on-site role offers hands-on experience in developing and implementing ML models, and collaborating with a team to deploy solutions in production.

You will work primarily with Python, C++, and C#, gain exposure to TensorFlow, PyTorch, and YOLO, and participate in data preprocessing, model training, and performance analysis under guidance.