AI / ML Developer (Lead)

AI / ML Developer (Lead) with skills AI/ML Development, AI/ML Architecture, TensorFlow, Pytorch for location Gurugram, India Posted on: June 22, Share on Linkedin Share on Twitter Share on Facebook ROLES & RESPONSIBILITIES 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 , 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. EXPERIENCE 8-11 Years SKILLS Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): AI/ML Architecture, TensorFlow, Pytorch ABOUT THE COMPANY Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.