Senior
In India, Bosch is a leading supplier of technology and services in the areas of Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. Additionally, Bosch has in India the largest development center outside Germany, for end to end engineering and technology solutions. The Bosch Group operates in India through twelve companies. Bosch set-up its manufacturing operation in 1951, which has grown over the years to include 18 manufacturing sites, and seven development and application centers. Bosch Group in India employs over 31,000 associates and generated consolidated revenue of about ₨.21,450 crores* (2.66 billion euros) in 2018 of which ₨. 15,824 crores*(1.96 billion euros) from third party. The Group in India has close to 18,000 research and development associates.
In India, Bosch Limited is the flagship company of the Bosch Group. It earned revenue of over ₨. 12,460 crores (1.54 billion euros) in 2018. Additional information can be accessed at www.bosch.in.
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.
BE/B.Tech in Engineering (e.g., Mechanical, Industrial, Computer Science).
MBA/M.Tech in a related field (e.g., Supply Chain Management, Data Science, Business Analytics) is preferred.
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)
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