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Bosch GroupPosted 1 week ago

Deputy Manager - Digital Engineering

$18,000,000–$24,000,000 year

On-siteBengaluru, Karnataka, India

Full TimeMid LevelMasters DegreeSmall

Job Summary

Lead and support Industry 4.0, Connectivity, and Digital Engineering initiatives to enable smart manufacturing, connected value chains, and data-driven decision-making. Implement Industry 4.0 and Connected Industry solutions across manufacturing and logistics, developing machine connectivity and IIoT solutions using industrial communication technologies. Support MES/MAS deployment, data integration, and digital shopfloor initiatives while creating dashboards, reports, and analytics solutions using Power BI/Tableau. Drive AI/ML, predictive maintenance, condition monitoring, and automation projects, and 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. Requires a BE/B.Tech or MBA/M.Tech with 6-8 years of experience in relevant roles, strong analytical skills, and expertise in Industrial IoT, Data Analytics, Python, SQL, and AI/ML.

Required Qualifications

  • BE/B.Tech in Engineering (e.g., Mechanical, Industrial, Computer Science)
  • 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
  • Knowledge in: MES, MAS, ProCon or Manufacturing Systems
  • Knowledge in: Industrial IoT (IIoT) & Machine Connectivity
  • Knowledge in: Data Analytics, Data Mining & Visualization
  • Knowledge in: Power BI / Tableau
  • Knowledge in: Python, SQL
  • Knowledge in: AI/ML and Computer Vision
  • Knowledge in: Digital Twin, Simulation & Digital Value Stream Analysis

Desired Qualifications

  • MBA/M.Tech in a related field (e.g., Supply Chain Management, Data Science, Business Analytics)
  • RPA, Automation, AR/VR

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