Generative AI & Data Analytics Intern

Infineon Technologies AG; Singapore; On-site; SGD 13,000 - 20,000; Part time

Job summary

Infineon Technologies AG invites you to join the ATV OM Customer Quality domain as an AI/Data Analytics intern. You will work on data-driven solutions, applying Generative AI, ML, and analytics to drive operational excellence and digital transformation within the semiconductor sector.

You will engage in cross-functional collaboration with engineers, process owners, and data/AI experts, gaining hands-on experience in data pipelines, AI deployment, and enterprise AI lifecycle.

Qualifications

• Pursuing a Bachelor's or Master's degree in CS/AI/Data Science
• Strong Python programming and software engineering fundamentals
• Experience with Generative AI, LLMs, and AI deployment
• Familiarity with PyTorch, TensorFlow, LangChain, LangGraph
• Exposure to REST APIs and cloud platforms

Responsibilities

• Collaborate with cross-functional team including engineers and data/AI professionals
• Analyze business problems and prioritize opportunities aligning ROI and implementation
• Apply statistical analysis, visualization and ML techniques to derive insights
• Design, develop and deploy AI/analytics solutions in production
• Build data pipelines to ingest and process data from enterprise sources
• Support operations through troubleshooting and continuous improvement

Skills

Python

Problem solving

Communication

Generative AI

PyTorch

TensorFlow

LangChain

LLMs

Cloud

REST APIs

Education

Bachelor's or Master's in CS/AI

Tools

PyTorch

TensorFlow

LangChain

LangGraph

Docker

AWS

Azure

GCP

Job description

Infineon Technologies AG invites you to join the ATV OM Customer Quality domain as an AI/Data Analytics intern. You will work on data-driven solutions, applying Generative AI, ML, and analytics to drive operational excellence and digital transformation within the semiconductor sector.

You will engage in cross-functional collaboration with engineers, process owners, and data/AI experts, gaining hands-on experience in data pipelines, AI deployment, and enterprise AI lifecycle.