AI Engineering Intern: Build Production-Grade AI Solutions

Infineon Technologies AG

Singapore

On-site

SGD 17,000 - 28,000

Full time

8 days ago

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Job summary

Infineon Technologies AG in Singapore invites a hands-on AI Engineering intern to contribute to digital transformation initiatives across Agentic AI, Hybrid Customer Journey optimization, and Supply Chain & Quality Analytics. You will collaborate with AI engineers on ML, LLMs, and AI inference, applying analytics to large data assets and deploying production-ready AI-powered solutions.

The role emphasizes data pipelines, scalable AI systems, and real-world semiconductor industry exposure, with a

Qualifications

  • Pursuing a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, ML, or related field.
  • Strong programming skills in Python and solid software engineering principles.
  • Hands-on experience with Generative AI, LLMs, Agentic AI, RAG, and AI app development.

Responsibilities

  • AI Project Collaboration: work with AI engineers on ML, DL, LLM, RAG, Agentic AI, conversational AI, AI inference projects.
  • Data Analysis & Visualization: apply statistics and ML to uncover insights from large datasets.
  • Solution Design & Deployment: design, develop, and deploy production-ready AI solutions.
  • AI-Enabled Application Development: build applications integrating AI into business processes.
  • Data Pipeline Development: develop data pipelines ingesting data from diverse sources.

Skills

Python programming
Generative AI / LLMs
Analytical thinking
Communication skills

Education

Bachelor's or Master's in Computer Science / AI / Data Science

Tools

PyTorch
TensorFlow
LangChain
LangGraph
REST APIs
Docker
AWS/Azure/GCP

Job description

Infineon Technologies AG in Singapore invites a hands-on AI Engineering intern to contribute to digital transformation initiatives across Agentic AI, Hybrid Customer Journey optimization, and Supply Chain & Quality Analytics. You will collaborate with AI engineers on ML, LLMs, and AI inference, applying analytics to large data assets and deploying production-ready AI-powered solutions.

The role emphasizes data pipelines, scalable AI systems, and real-world semiconductor industry exposure, with a

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