Manage false positive alerts in monitoring systems
Identify equipment failures based on data
The role focuses on leveraging data-driven optimization to monitor and maintain the reliability of major rotating equipment across the EAP region
Job Summary
The role focuses on leveraging data-driven optimization to monitor and maintain the reliability of major rotating equipment across the EAP region.
You will be responsible for deploying, maintaining, and revamping predictive models while reducing false positive alerts to ensure system effectiveness.
The position requires anticipating performance deviations to enable a strategic shift from unplanned failures to planned maintenance interventions.
Matching Summary
The role focuses on leveraging data-driven optimization to monitor and maintain the reliability of major rotating equipment across the EAP region.
Skills & Requirements
Must-have
Deploy predictive models for rotating equipment
Manage false positive alerts in monitoring systems
Identify equipment failures based on data
Communicate deviations to site teams
Nice-to-have
Strong analytical attitude for fresh graduates
Excellent communication skills
Ability to learn quickly under pressure
Resilience in high-pressure environments
Key Requirements
Bachelor degree in Engineering or Data Science
3-5 years experience in industrial environment
Fresh graduates with strong analytical attitude welcome