Lead and support Industry 4.0 (i4.0), Connectivity, and Digital Engineering initiatives to enable smart manufacturing, connected value chains, and data-driven decision-making. The role involves machine connectivity, manufacturing systems integration, data analytics, automation, and digital transformation projects. Key Responsibilities Implement Industry 4.0 and Connected Industry solutions across manufacturing and logistics. Develop machine connectivity and IIoT solutions using industrial communication technologies. Support MES/MAS deployment, data integration, and digital shopfloor initiatives. Create dashboards, reports, and analytics solutions using Power BI/Tableau. Drive AI/ML, predictive maintenance, condition monitoring, and automation projects. Develop digital engineering solutions including data modeling, simulation, and digital twin concepts. Collaborate with cross-functional teams to deliver smart factory and digital transformation projects.
1. BE/B.Tech in Engineering (e.g., Mechanical, Industrial, Computer Science). 2. MBA/M.Tech in a related field (e.g., Supply Chain Management, Data Science, Business Analytics) is preferred. 3. 6-8 years of Experience in relevant role
Strong analytical, problem-solving, and critical-thinking skills. Excellent communication, presentation, and workshop moderation skills Proven project management and stakeholder management abilities. Knowledge in: Industry 4.0 / Smart Manufacturing MES, MAS, ProCon or Manufacturing Systems Industrial IoT (IIoT) & Machine Connectivity Data Analytics, Data Mining & Visualization Power BI / Tableau Python, SQL AI/ML and Computer Vision Digital Twin, Simulation & Digital Value Stream Analysis RPA, Automation, AR/VR (preferred)
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