AI Analytics Intern: Equipment Health & Reliability

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 20,000 - 33,000; Full time

Job summary

Micron Technology, Inc. invites applications for an internship focused on Intelligent Equipment Health Monitoring and Reliability Analytics. You will work on data analytics, ML models, and AI-enabled dashboards to monitor equipment health, detect abnormal behavior, and communicate insights to engineering teams.

The role offers exposure to Python, SQL, data visualization, and AI techniques, with opportunities for future full-time employment subject to business needs.

Qualifications

• Pursuing a degree in Data Analytics, Data Science, CS, Mechanical/Electrical/Industrial Engineering or related field.
• Proficiency in Python and SQL; strong data analytics and visualization skills.
• Familiarity with ML, AI, anomaly detection, and data science concepts.
• Strong analytical, problem-solving, and technical communication skills.
• Ability to convey insights to engineering stakeholders.

Responsibilities

• Develop a prototype Intelligent Equipment Health Monitoring Agent and interactive dashboard.
• Analyze alarms, downtime, maintenance, and performance data to identify health trends.
• Apply statistical and ML techniques to detect abnormal behavior and emerging concerns.
• Document methodology, findings, limitations, and recommendations for stakeholders.
• Communicate insights through dashboards and analytical summaries.

Skills

Python

SQL

Data analytics

Statistics

Data visualization

Machine learning

AI concepts

Anomaly detection

Technical communication

Education

Data Analytics degree

Data Science degree

Computer Science degree

Electrical/Mechanical/Industrial Engineering degree

Tools

Python tools

SQL

Jupyter

Job description

Micron Technology, Inc. invites applications for an internship focused on Intelligent Equipment Health Monitoring and Reliability Analytics. You will work on data analytics, ML models, and AI-enabled dashboards to monitor equipment health, detect abnormal behavior, and communicate insights to engineering teams.

The role offers exposure to Python, SQL, data visualization, and AI techniques, with opportunities for future full-time employment subject to business needs.