AI Data Engineering Intern - Planning & Ops

Micron; Singapore; On-site; SGD 20,000 - 31,000; Full time

Job summary

Micron Technology, Inc. invites a full-time six-month internship in Singapore focused on building an AI-enabled data harness for end-to-end ramp intelligence and business operations planning.

You will integrate data from multiple planning sources and apply AI/analytics to improve planning visibility and decision support across the product lifecycle. The role requires Python, SQL, and data analytics skills, plus familiarity with AI concepts and BI tools like Power BI or Tableau.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Business Analytics, Industrial Engineering, Engineering, or a related field.
• Proficiency in Python, SQL, and data analytics as core skills.
• Familiarity with Generative AI, large language models, AI agents, retrieval-augmented generation, and prompt-engineering concepts.
• Experience with Power BI or Tableau is advantageous.

Responsibilities

• Develop an integrated data foundation for selected business-planning and product-ramp information.
• Apply AI and analytics techniques to improve planning visibility, traceability, and scenario evaluation.
• Create a project prototype that demonstrates data-driven decision support for resource and cost planning.
• Document the project methodology, findings, limitations, and recommendations for future development.

Skills

Python

SQL

Data analytics

Power BI

Tableau

Communication

Cloud platforms

Education

Bachelor's or Master's degree in related field

Tools

Azure AI

Databricks

Microsoft Fabric

Job description

Micron Technology, Inc. invites a full-time six-month internship in Singapore focused on building an AI-enabled data harness for end-to-end ramp intelligence and business operations planning.

You will integrate data from multiple planning sources and apply AI/analytics to improve planning visibility and decision support across the product lifecycle. The role requires Python, SQL, and data analytics skills, plus familiarity with AI concepts and BI tools like Power BI or Tableau.