GRIT Traineeship - Data Scientist at Infineon Technologies AG Australia

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Image Classification, Python, TensorFlow, PyTorch, OpenCV, Pillow, Scikit-image, Version Control, Git, Cloud Platforms, AWS, Azure, Google Cloud

Industry

Semiconductor Manufacturing

Description

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 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. We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.

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Responsibilities

The role involves establishing performance monitoring metrics for deployed AI models and enhancing AI workflows through dataset refinement. Additionally, the candidate will evaluate and validate models against KPIs and collaborate with cross-functional teams to align AI applications with business needs.