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Tier-1 employer, metro location, mid-level role with broad IIoT, analytics and ML skillset.
Specialized Industry 4.0, MES and IIoT focus limits transferability across industries.
Explicit 6-8 years plus multiple mandatory technical skills and domain experience.
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Lead and execute Industry 4.0, Connectivity, and Digital Engineering initiatives to enable smart manufacturing and connected value chains.
Implement machine connectivity and IIoT solutions, manufacturing systems integration, and support MES/MAS deployment and digital shopfloor initiatives.
Develop and deliver data analytics, AI/ML, predictive maintenance, automation projects, and digital twins/digital engineering solutions collaborating with cross-functional teams.
Bachelor's degree in Engineering (e.g., Mechanical, Industrial, Computer Science) mandatory.
6-8 years of relevant work experience in Industry 4.0, manufacturing systems, or digital engineering domains.
Proficiency in Power BI/Tableau, Python, SQL, and knowledge of MES/MAS, IIoT, AI/ML technologies.
MBA or M.Tech in related fields (Supply Chain Management, Data Science, Business Analytics) preferred but not mandatory.
Experienced in leading digital transformation and smart manufacturing projects involving cross-functional collaboration.
Strong in data analytics, industrial communication technologies, and automation with strategic use of AI/ML and digital twin concepts.
Skilled in stakeholder and project management with ability to deliver complex Industry 4.0/connected industry solutions in a manufacturing environment.