Mobile Fleet Telemetry Specialist

Our client is a global mining company securing the critical minerals behind the energy transition, including copper, cobalt, nickel, tin, and rare earths; they invest in and operate premium mining assets.

They are currently building the AI-native platform, combining IoT, artificial intelligence, and predictive intelligence, that runs across their mining operations to raise productivity, efficiency and safety.

They are seeking a mobile-fleet telemetry specialist who is an expert on the predictive-maintenance effort, to work hand in hand with their AI team, giving them the deep understanding of haul-truck and shovel telemetry they need to build algorithms that predict failures before they happen.

Key Responsibilities

• Serve as the mobile-fleet telemetry expert for the company's predictive-maintenance and failure-identification work.
• Work closely with the AI and data science team, translating haul-truck and shovel telemetry into the signals, failure modes, and features that drive the models.
• Interpret multi-sensor and telemetry data, including vibration, oil, temperature, pressure, motor current, and OEM fleet feeds, and explain what healthy and failing look like.
• Ground-truth and label failure events so the models learn from real field outcomes.
• Validate model outputs against field reality, flag false alarms, and guide where the algorithms need to improve.
• Bring failure-mode knowledge of engines, drivetrains, hydraulics, and structures into model design.
• Partner with site teams to confirm predictions and close the loop between algorithm and repair.

Key Qualifications

• Deep, hands-on understanding of mining mobile fleet telemetry across haul trucks, shovels, loaders, and dozers. This is the core of the role.
• Fluency with OEM fleet telemetry and equipment health systems and what their signals mean.
• Strong knowledge of mobile-fleet failure modes across engines, drivetrains, hydraulics, and rotating components.
• The ability to explain telemetry and failure behaviour clearly to a technical AI team.
• Comfort working with sensor and telemetry data and collaborating on data problems.
• The judgment to tell a real failure signature from operational noise.
• Vibration analysis certification to ISO 18436, Category II or higher.
• Data skills such as Python, SQL, or Power BI to explore telemetry yourself.
• Exposure to predictive analytics, machine learning, or AI-driven reliability tools.
• Envelope demodulation and low-speed equipment experience.
• Oil analysis and tribology, thermography, or motor current signature analysis knowledge.