GRIT Traineeship - Data Scientist

INFINEON TECHNOLOGIES ASIA PACIFIC PTE LTD; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

A leading technology company in Singapore is seeking a Trainee to work on improving AI applications. The role involves optimizing deep learning models, ensuring their reliability and performance in production. Candidates will gain practical experience by collaborating with teams, refining AI workflows, and validating model outputs. Knowledge of machine learning techniques and familiarity with programming tools like Python and TensorFlow is essential for success in this role.

Qualifications

• Basic to intermediate knowledge of machine learning and image classification techniques.
• Familiarity with tools such as Python and machine learning frameworks.
• Experience with image processing libraries like OpenCV is a plus.

Responsibilities

• Monitor and improve AI model performance in production.
• Enhance AI workflows and data preprocessing pipelines.
• Evaluate and validate AI model outputs against KPIs.

Skills

Basic to intermediate knowledge of machine learning

Image classification techniques (e.g., CNNs, transfer learning)

Familiarity with Python

Familiarity with TensorFlow

Familiarity with PyTorch

Experience with OpenCV

Experience with Pillow

Experience with scikit-image

Familiarity with Git

Familiarity with AWS

Familiarity with Azure

Familiarity with 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.