The company is looking for a Condition Monitoring Engineer to collaborate with a multidisciplinary team to design, develop, and deploy self-diagnostic tools for industrial equipment. The role involves leveraging expertise in statistics, machine learning, and vibration analysis to analyze large datasets and derive actionable insights on equipment health and performance. The engineer will develop and implement algorithms for fault and anomaly detection using both historical and real-time sensor data, integrating these algorithms into software applications or embedded systems for real-time monitoring. Participation in field trials and deployments will be essential to validate tool performance and refine systems based on field feedback.

Collaborate with a multidisciplinary team of engineers and researchers to design, develop, and deploy self-diagnostics tools for industrial equipment.

Utilize expertise in statistics, machine learning, and vibration analysis to analyze large datasets and extract actionable insights related to equipment health and performance.

Develop algorithms and models for fault detection and anomaly detection using historical and real-time sensor data.

Implement diagnostic algorithms into software applications or embedded systems for real-time monitoring and decision support.

Participate in field trials and deployments, working closely with field engineers to validate tool performance and gather feedback for continuous improvement.

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