Data & AI Analytics Intern: Build Real-World AI Solutions

Infineon

Western Australia

On-site

AUD 20,000 - 27,000

Full time

2 days ago
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Job summary

Infineon Australia offers an internship focused on AI, data analytics, and automation within the ATV OM Customer Quality domain. You will work on data-driven solutions to enable operational excellence and digital transformation in the semiconductor sector.

You will collaborate with engineers, Biz Process Owners, and AI engineers to build data pipelines, deploy analytics solutions, and contribute to enterprise AI lifecycle understanding while developing production-grade data science workflows and

Qualifications

  • Pursuing a Bachelor’s or Master’s in CS, AI, DS, ML, or related field.
  • Strong Python and software engineering fundamentals.
  • Hands-on experience with AI workflows and data preprocessing.
  • Familiarity with PyTorch/TensorFlow and AI tooling.
  • Experience with data analytics and visualization.

Responsibilities

  • Cross-functional collaboration with engineers, Biz Process Owners, and AI Engineers.
  • Analyze and prioritise business problems for ROI alignment.
  • Apply statistical analysis, ML, and data visualization to datasets.
  • Design, develop, and deploy AI analytics solutions.
  • Build AI-enabled applications integrating ML capabilities.

Skills

Python programming
Data analytics
Machine learning
Problem solving
Communication skills
Cloud platforms
REST APIs
Docker/OpenShift

Education

Bachelor/Master in CS/AI/DS

Tools

PyTorch
TensorFlow
LangChain
LangGraph

Job description

Infineon Australia offers an internship focused on AI, data analytics, and automation within the ATV OM Customer Quality domain. You will work on data-driven solutions to enable operational excellence and digital transformation in the semiconductor sector.

You will collaborate with engineers, Biz Process Owners, and AI engineers to build data pipelines, deploy analytics solutions, and contribute to enterprise AI lifecycle understanding while developing production-grade data science workflows and

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