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Tier-1 employer, mid-level experience band, and metro Bengaluru location increase competition density.
Strong manufacturing, IIoT, MES and digital twin focus limits cross-industry transferability.
Explicit 6–8 year requirement plus mandatory IIoT, MES, analytics and AI/ML skills raises strictness.
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Lead Industry 4.0, Connectivity, and Digital Engineering initiatives to implement smart manufacturing and connected value chains.
Develop and deploy machine connectivity, IIoT solutions, MES/MAS integration, and digital shopfloor projects with data analytics and automation.
Create dashboards and analytics (Power BI/Tableau) and drive AI/ML, predictive maintenance, and digital twin solutions in manufacturing and logistics contexts.
Bachelor's degree in Engineering (Mechanical, Industrial, Computer Science, or related).
6-8 years of relevant experience in Industry 4.0, digital engineering, or manufacturing systems integration.
Familiarity with industrial communication technologies, MES/MAS, and data analytics tools like Power BI or Tableau.
MBA or M.Tech in Supply Chain Management, Data Science, or Business Analytics preferred but not mandatory.
Experienced in leading cross-functional smart factory and digital transformation projects involving automation and AI/ML.
Strong background in machine connectivity, IIoT solutions, and digital shopfloor implementations.
Able to integrate data-driven decision making through dashboarding and predictive analytics in manufacturing/logistics environments.