Lead ML/AI Engineer - Semiconductor Automation & Agents

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. is seeking a Product Engineering ML/AI specialist to build predictive models for yield, test time, and reliability, plus scalable ML workflows for large semiconductor datasets.

You will mentor Citizen Data Scientists, design intelligent agents integrated with JIRA/Confluence/SharePoint, and collaborate with cross-functional teams to accelerate automation, improve quality, and shorten cycle times across manufacturing and engineering workflows.

Qualifications

  • Bachelor’s or Master’s degree in CS/EEE/Data Science with 5+ years in ML/AI.
  • PhD with 3+ years practical app experience is acceptable.
  • Experience in ML for structured data and unstructured data is preferred.

Responsibilities

  • Develop predictive models for yield, test time, and reliability.
  • Build ML workflows for large semiconductor datasets and validate them.
  • Create intelligent agents to automate engineering tasks and integrate with enterprise tools.
  • Collaborate with cross-functional teams for data access, cleaning, and structuring.
  • Mentor Citizen Data Scientists; develop training paths and guidelines.
  • Contribute to papers, patents, and internal AI guidelines.

Skills

Strong problem solving
Excellent communication

Education

Bachelor’s or Master’s degree in Computer Science / Electrical/Electronic Engineering / Data Science (5+ years ML/AI)
PhD + 3+ years practical AI experience

Tools

Python
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
LangChain
Microsoft Copilot Studio
Azure ML
AWS SageMaker
Power Automate
SharePoint connectors

Job description

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. is seeking a Product Engineering ML/AI specialist to build predictive models for yield, test time, and reliability, plus scalable ML workflows for large semiconductor datasets.

You will mentor Citizen Data Scientists, design intelligent agents integrated with JIRA/Confluence/SharePoint, and collaborate with cross-functional teams to accelerate automation, improve quality, and shorten cycle times across manufacturing and engineering workflows.

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