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Intern-TSE SSD TE at Micron Technology
Simpang Ampat, Penang, Malaysia -
Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, AI/ML, Predictive Analytics, Anomaly Detection, Pattern Recognition, AI-Driven Insights, Python, MySQL, SQL, Git, ML Libraries, API Integration, Web Applications, Analytical Thinking, Problem-Solving, Communication

Industry

Semiconductor Manufacturing

Description
Apply data science and AI/ML models for engineering projects targeting: Test time reduction through predictive analytics and intelligent scheduling. Manufacturing issue trend analysis using anomaly detection and pattern recognition. Product analytics with AI-driven insights for performance and reliability. Collaborate with engineering and production groups to integrate AI into test programs, infrastructure, and systems for smarter manufacturing readiness. Improve device yield, reliability, and quality through: Provide cost-effective and innovative solutions for production test flow optimization using AI-based test time reduction methodologies and adaptive algorithms. Develop and release AI-enhanced test programs to production in a timely manner. Assist process and production teams by deploying AI-driven monitoring tools and predictive maintenance models to ensure smooth manufacturing operations. Bachelor Degree in AI & Data Engineering, Electrical/Electronic Engineering, Computer Science/Engineering, Data Science, AI, Machine Learning, Embedded Systems, with equivalent experience also accepted. Tools Familiarity in Python with strong programming driven by objects, MySQL/SQL, Git, ML libraries, basic semiconductor test concepts, AI Agents Creation, API integration (REST, microservices), Web Applications such as Building dynamic websites and dashboards. Soft Skills : Analytical thinking and problem-solving, and Communication for cross-functional collaboration.
Responsibilities
Apply data science and AI/ML models for engineering projects to improve manufacturing processes. Collaborate with engineering and production teams to integrate AI into test programs and optimize production test flows.