AI / ML Developer (Lead) with skills AI/ML Development, AI/ML Architecture, TensorFlow, Pytorch for location Gurugram, India
ROLES & RESPONSIBILITIES
Core Skills
Key Responsibilities:
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Lead OT architecture design for mining operations, including drilling, hauling, crushing, stockpiling, processing, and transportation.
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Design hybrid (on-prem + edge + cloud) solutions that handle poor connectivity, latency, and harsh physical environments.
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Architect integration between OT and enterprise systems (e.g., ERP, fleet management, historian, CMMS).
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Work closely with business analysts to ensure technical solutions align with operational workflows and business goals.
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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.
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Ensure designs are scalable, secure, fault-tolerant, and compliant with industrial security standards (IEC 62443, NIST CSF).
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Guide the development and deployment of monitoring systems for IROC-based centralized operations.
Required Skills and Qualifications:
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8–10 years of experience in architecting OT solutions for mining operations , particularly in open-pit mining.
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Deep expertise in OT components: SCADA, PLCs, DCS, telemetry, real-time data acquisition, condition monitoring.
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Knowledge of industrial communication protocols (OPC UA, Modbus, PROFINET, MQTT).
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Experience with edge computing platforms (e.g., Azure IoT Edge, AWS IoT Greengrass) and industrial gateways.
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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.
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Strong understanding of IT/OT convergence principles and industrial cybersecurity.
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Minimum 3 years of direct experience working with or for a mining organization , with a solid understanding of mining operational challenges.
Education:
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Bachelor's or Master's in Computer Science, Control Systems Engineering, or relevant fields.
EXPERIENCE
- 8-11 Years
SKILLS
- Primary Skill: AI/ML Development
- Sub Skill(s): AI/ML Development
- Additional Skill(s): AI/ML Architecture, TensorFlow, Pytorch