Senior Customer Reliability Engineer

GE Vernova, Inc.

São Paulo

Hybride

BRL 180 000 - 300 000

Plein temps

Il y a 3 jours
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Résumé du poste

GE Vernova, Inc. is seeking a Lead Services Specialist to drive industrial asset monitoring and predictive maintenance using advanced analytics and machine learning. You will identify early warnings of equipment failure and support proactive decision making.

Responsibilities include configuring data collection, refining predictive models, and creating actionable reports. The role requires collaboration with field technicians and operations teams while staying current with monitoring technologies.

Qualifications

  • Bachelor's degree or equivalent experience required.
  • Engineering knowledge, data analysis, and maintenance understanding expected.
  • Fluent in English and Portuguese or Spanish.

Responsabilités

  • Monitor assets using predictive analytics to identify failures early.
  • Configure data collection and ensure data quality across systems.
  • Develop predictive maintenance schedules based on equipment condition.
  • Create detailed condition monitoring reports and alerts.
  • Collaborate with maintenance teams to optimize repairs and replacements.
  • Train operators and maintenance staff on monitoring systems.
  • Communicate findings to operations and management with clear visuals.
  • Stay updated with advances in condition monitoring technology.

Connaissances

Engineering knowledge
Data analysis
Industrial equipment operation & maint
English fluency
Portuguese/Spanish fluency

Formation

Bachelor's degree
High school diploma with relevant experience

Description du poste

Job Description Summary

The Lead Services Specialist role has responsibilities focused on industrial asset monitoring and predictive maintenance using advanced analytics and machine learning to identify early warnings of pending equipment failure.

Job Description
Essential Responsibilities
System Monitoring & Analysis
  • Monitor industrial equipment and systems using SmartSignal or similar predictive analytics platforms.
  • Analyze sensor data, vibration patterns, temperature readings, and other operational parameters
  • Identify anomalies, trends, and patterns that indicate potential equipment issues
  • Interpret predictive maintenance alerts and recommend actions
Data Management
  • Configure and maintain data collection systems and sensors - Ensure data quality, accuracy, and completeness
  • Manage historical data archives and trending analysis - Integrate multiple data sources and systemsPredictive Maintenance
Predictive Maintenance
  • Identify opportunities to refine predictive models for equipment failure prevention
  • Create maintenance schedules based on equipment condition rather than time intervals
  • Collaborate with maintenance teams to optimize repair and replacement strategies
  • Generate detailed condition monitoring reports
  • Provide early warning notification systems for critical equipment failures
  • Investigate equipment performance issues and root causes
  • Support emergency response and unplanned outage investigations
  • Provide technical expertise during equipment failures
  • Recommend corrective actions and improvements
Communication & CollaborationStakeholder Engagement
  • Communicate findings to operations, maintenance, and management teams
  • Present technical data in accessible formats for technical and non-technical audiences
  • Coordinate with field technicians and maintenance personnel
  • Support decision-making processes with data-driven insights
Documentation & Reporting
  • Create and enhance standard operating procedures for monitoring activities
  • Document lessons learned and best practices
Continuous ImprovementTechnology Enhancement
  • Stay current with advances in condition monitoring technology
  • Evaluate and implement new monitoring techniques and tools
  • Optimize alarm settings and notification systems
  • Contribute to the development of monitoring strategies
Training & Knowledge Transfer
  • Train operators and maintenance staff on monitoring systems
  • Develop training materials and procedures
  • Share expertise across different plant locations or business units
  • Mentor junior engineers and technicians
Industry-Specific Applications
  • Power Generation: Monitoring turbines, generators, and auxiliary equipment
  • Oil & Gas: Pipeline monitoring, compressor stations, and refinery equipment
  • Manufacturing: Production line equipment, motors, and process systems
Required Qualifications
  • Knowledge level is comparable to a Bachelor's degree from an accredited university or college ( or a high school diploma with relevant experience).
  • Engineering knowledge, data analysis skills, and practical understanding of industrial equipment operation and maintenance.
  • Fluent in English and Portuguese or Spanish.
Desired Characteristics
  • Strong oral and written communication skills.
  • Demonstrated ability to analyze and resolve problems with limited oversight
  • Ability to document, plan, market, and execute programs. Established project management skills.
Additional Information

Relocation Assistance Provided: No

#LI-Remote - This is a remote position

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