AI Model Engineer Trainee — Production & Scaling

Infineon Technologies; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A prominent technology company in Singapore is seeking a Trainee to work on sustaining and enhancing AI applications. This role involves optimizing deep learning models, establishing performance metrics, and collaborating with various teams to ensure system reliability. Ideal candidates should have a foundational understanding of machine learning, proficiency in Python and tools like TensorFlow, and a keen interest in AI advancements. This position offers an opportunity to gain hands-on experience in a dynamic tech environment.

Qualifications

• Basic to intermediate knowledge of machine learning and image classification techniques.
• Familiarity with Python, TensorFlow, PyTorch, or similar frameworks.
• Experience with image processing libraries is a plus.
• Familiarity with version control and cloud platforms is a bonus.

Responsibilities

• Establish performance monitoring metrics for deployed AI models.
• Refine datasets and improve data preprocessing pipelines.
• Benchmark AI models against KPIs and validate outputs.
• Collaborate with cross-functional teams on AI applications.
• Explore and suggest improvements for model performance.
• Contribute to deploying and scaling AI models.

Skills

Machine learning knowledge

Image classification techniques

Python

TensorFlow

PyTorch

OpenCV

Git

Cloud platforms

Tools

TensorFlow

PyTorch

OpenCV

Git

AWS

Azure

Google Cloud

Job description

A prominent technology company in Singapore is seeking a Trainee to work on sustaining and enhancing AI applications. This role involves optimizing deep learning models, establishing performance metrics, and collaborating with various teams to ensure system reliability. Ideal candidates should have a foundational understanding of machine learning, proficiency in Python and tools like TensorFlow, and a keen interest in AI advancements. This position offers an opportunity to gain hands-on experience in a dynamic tech environment.