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Strong employer brand, metro location, and broad mid-level IIoT and analytics skillset increase candidate competition.
Requires manufacturing, MES and IIoT domain expertise, so candidate background fit is highly industry-specific.
Explicit 6–8 years plus many mandatory IIoT, MES, analytics, Python/SQL skills make shortlisting highly strict.
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Lead implementation of Industry 4.0, Connectivity, and Digital Engineering initiatives for smart manufacturing and connected value chains.
Develop and deploy machine connectivity, IIoT solutions, MES/MAS integration, and digital shopfloor systems.
Create data analytics dashboards (Power BI/Tableau) and drive AI/ML, predictive maintenance, automation, and digital twin projects.
Bachelor's degree in Engineering (Mechanical, Industrial, Computer Science, etc.) mandatory.
6-8 years of relevant work experience in Industry 4.0, digital manufacturing, or related fields.
Proficiency in industrial communication technologies, MES/MAS systems, data analytics tools (Power BI/Tableau), Python, and SQL.
Work Experience Required: 6-8 years in relevant roles.
Experience leading cross-functional digital transformation projects in manufacturing or logistics environments.
Strong expertise implementing smart factory solutions including AI/ML, predictive maintenance, and digital twin technologies.
Demonstrated ability managing stakeholder relationships and delivering analytics-driven decision support through dashboards and reports.