Mobile Fleet Telemetry Specialist

Job Description Roles & Responsibilities 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. Desired Candidate Profile 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. Company Industry MiningForestryFishing Department / Functional Area Engineering Keywords Mobile Fleet Telemetry Specialist Get real-time job updates only on our App