GRIT Traineeship - Data Scientist

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

Please submit your application via: https://jobs.infineon.com/careers/job/private?domain=infineon.com&pid=563808967589462

This position reports to the Data Scientist Manager and mainly working on sustaining and improving AI applications. Trainee will gain hands‑on experience in maintaining, fine‑tuning, and optimizing deep learning models for production applications. The Trainee will play a key role to ensure reliability, scalability, and performance of existing AI systems while exploring opportunities for continuous development and enhancement.

Your Role

Key responsibilities in your new role:

• Existing use case sustenance: establish performance monitoring metric for deploy AI models to ensure accuracy and reliability in production environments. identify potential issues or deviations and implement necessary adjustments such as re-training or model fine‑tuning
• Enhance AI workflows: Refine datasets and improve data preprocessing pipelines to ensure robust model performance
• Evaluate and validate models: benchmark AI models against KPIs and validate model outputs to ensure adherence to business requirements and mitigate risks
• Collaboration and knowledge‑sharing: work closely with cross‑functional teams to sustain current AI applications and align with business needs
• Research and development: explore \& suggest tools, techniques and technologies to further improve model performance. forward‑looking with the latest advancement in AI and apply best practices to existing applications
• Support scaling effort: contribute to the deployment and scaling of AI models across processes and sites

Your Profile

Qualifications and skills to help you succeed:

• Basic to intermediate knowledge of machine learning and image classification techniques (e.g., CNNs, transfer learning, etc.).
• Familiarity with tools such as Python, TensorFlow, PyTorch, or similar machine learning frameworks.
• Experience with image processing libraries like OpenCV, Pillow, or scikit-image is a plus.
• Familiarity with any version control system (e.g., Git) and cloud platforms (e.g., AWS, Azure, or Google Cloud) is a bonus.