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)