Intern project to improve burn-in equipment performance using predictive analytics, data automation, and Agentic AI. Under engineer guidance, the intern will analyze equipment alarm logs, investigate downtime patterns, and develop data-driven solutions to improve machine availability and Parts per Jam. The ideal candidate should be able to commit to a full time internship period of at least 6 months, from January 2027 to June 2027.
What they are looking for
Details
- Work type
- Onsite
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