Platform Predictive Logistics Specialist

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Platform Predictive Logistics Specialist

Sterling Heights, MI

Contract Position

Moseley Technical is supporting the global leader in the design, development, production, support, and sustainment of tracked and wheeled military equipment.

As part of this team, you are keeping our allies and soldiers safe every day on the ground.

If you want to work on meaningful projects with an employee first company,

we invite you to join our team.

Responsibilities :

• Provide technical expertise and support for Predictive Maintenance (PdM) Technologies for our Combat Vehicles.
• Part of our Digital Systems Software Engineering (DSSE) team. Our mission is to investigate, develop, and demonstrate PdM capabilities for company vehicle platforms.
• Work as part of a cross-functional team with responsibility and authority to deliver PdM capabilities and associated software products with the goal of integrating and testing them at the subsystem and vehicle level.
• Collaborate with engineering and operations team to ensure effective implementation of predictive maintenance strategies.
• Implement and manage condition monitoring systems to track equipment health.
• Collect and analyze data from various sensors and systems to identify potential equipment failures.
• Data analysis and modeling :
• Develop and apply predictive models to forecast equipment failure and maintenance needs.
• Prepare and maintain documentation related to PdM activities including equipment health, predictive analytics, maintenance and reports on system performance and issues.
• Provide technical support for the installation, configuration, and maintenance and updating of PdM tools and software systems and equipment.
• Continuously improve predictive maintenance processes and technologies through research and innovation and stay updated with latest technologies and best practices.
• Perform other duties as assigned.

Qualifications :

• Must hold a bachelor’s degree from an accredited 4-year university or college with a discipline in Engineering (Mechanical, Electrical, Industrial, Data Science, Computer Science, Computer Engineer or similar.
• Minimum of 3 years experience in Maintenance Engineering or Reliability Engineering
• Proficiency with data analysis tools (., Python, R, MATLAB and machine learning techniques
• Technical skills Proficiency in troubleshooting hardware and software technologies related to PdM systems.Familiarity with sensors and data acquisition systems of condition monitoring (example-vibration analysis thermography)Strong skills in data collection and processing data from various sources (.

sensors, database).Strong data analysis skills and experience with machine learning algorithms.Experience with maintenance management software (CMMS, EMS systems) and PdM software.

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