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. • 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 structures. • 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.