AI-Driven Predictive Maintenance Technician

Milliken & Company

Pendleton (SC)

On-site

USD 52,000 - 76,000

Full time

12 days ago

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Job summary

Milliken & Company's Pendleton Finishing Plant is seeking a Predictive Maintenance Technician to develop and execute the PdM program, support ISO calibration, and ensure PM compliance. You will use condition monitoring, CMMS, and AI-assisted tools to evaluate equipment health, identify reliability risks, and drive data-driven maintenance decisions.

The role focuses on maximizing equipment reliability, minimizing downtime, and ensuring plant safety, with occasional after-hours support for

Qualifications

  • Associate degree in relevant maintenance or related field.
  • Strong mechanical and electrical troubleshooting skills.
  • Experience with predictive maintenance and reliability technologies.
  • Proficient with CMMS and maintenance software.
  • Proven ability to document technical findings in reports.

Responsibilities

  • Develop, schedule, perform, and document predictive maintenance inspections including: Vibration Analysis, Infrared Thermography, Ultrasonic Inspection, Steam Trap Surveys.
  • Perform predictive maintenance inspections on designated assets on appropriate frequency.
  • Collect, analyze, trend, and interpret equipment condition data to identify issues.
  • Utilize predictive maintenance software and AI-assisted analytics to evaluate equipment health.
  • Create work orders and coordinate with maintenance team to schedule repairs.

Skills

Mechanical troubleshooting
Electrical troubleshooting
Data interpretation
Team collaboration
Analytical thinking
Adaptability
Problem solving

Education

Associate degree in Industrial Maintenance/Mechatronics/Electrical Technology

Tools

CMMS
Maintenance software
Microsoft Office

Job description

Milliken & Company's Pendleton Finishing Plant is seeking a Predictive Maintenance Technician to develop and execute the PdM program, support ISO calibration, and ensure PM compliance. You will use condition monitoring, CMMS, and AI-assisted tools to evaluate equipment health, identify reliability risks, and drive data-driven maintenance decisions.

The role focuses on maximizing equipment reliability, minimizing downtime, and ensuring plant safety, with occasional after-hours support for

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