Meaningful work,
meaningful life

Core Skills

Key Responsibilities:

• Lead OT architecture design for mining operations, including drilling, hauling, crushing, stockpiling, processing, and transportation.

• Design hybrid (on-prem + edge + cloud) solutions that handle poor connectivity, latency, and harsh physical environments.

• Architect integration between OT and enterprise systems (e.g., ERP, fleet management, historian, CMMS).

• Work closely with business analysts to ensure technical solutions align with operational workflows and business goals.

• Select and implement appropriate technologies (e.g., MQTT, OPC-UA, edge gateways, cloud connectors).

·         Design OT architectures that enable deployment of AI/ML models at the edge, on-premises, and in the cloud for applications such as predictive maintenance, equipment health monitoring, and operational optimization.

·         Collaborate with data scientists and AI/ML engineers to ensure appropriate data capture, preprocessing, and feature engineering from OT systems (SCADA, PLCs, condition monitoring sensors, etc.).

·         Integrate AI-driven analytics and insights into operator dashboards and IROC visualizations, ensuring actionable intelligence for mining operations.

·         Support model lifecycle considerations in OT environments—edge inferencing, model updates, offline inference, and fail-safe design.

• Ensure designs are scalable, secure, fault-tolerant, and compliant with industrial security standards (IEC 62443, NIST CSF).

• Guide the development and deployment of monitoring systems for IROC-based centralized operations.

Required Skills and Qualifications:

• 8–10 years of experience in architecting OT solutions for mining operations, particularly in open-pit mining.

• Deep expertise in OT components: SCADA, PLCs, DCS, telemetry, real-time data acquisition, condition monitoring.

• Knowledge of industrial communication protocols (OPC UA, Modbus, PROFINET, MQTT).

• Experience with edge computing platforms (e.g., Azure IoT Edge, AWS IoT Greengrass) and industrial gateways.

• Proven ability to design solutions tolerant of intermittent connectivity, high latency, and remote geographies.

·         Working knowledge of AI/ML use cases in industrial and mining operations, such as predictive maintenance, equipment utilization analysis, energy optimization, and safety anomaly detection.

·         Familiarity with deployment of AI models on edge platforms (e.g., NVIDIA Jetson, Azure IoT Edge, AWS Greengrass) and their integration with OT systems.

·         Experience designing OT data pipelines to support real-time and historical data needs for AI analytics.

• Strong understanding of IT/OT convergence principles and industrial cybersecurity.

• Minimum 3 years of direct experience working with or for a mining organization, with a solid understanding of mining operational challenges.

Education:

• Bachelor’s or Master’s in Computer Science, Control Systems Engineering, or relevant fields.