Innovation Engineer – Automotive Design, AI & Predictive Analytics (Spare Parts)
Mercedes-Benz Group AG (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 15–35 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop patentable innovations and AI/ML-based monitoring solutions for automotive spare parts, integrating automotive engineering, CAD/CAE, data analytics, and IP development.
- Lead innovation initiatives via design thinking workshops, patent filing support, and product improvement focusing on reliability, manufacturability, and cost optimization.
- Create predictive models for spare part health, failure prediction, and warranty analytics using multiple automotive data sources and collaborate cross-functionally for design validation and aftermarket analytics.
Minimum Requirements
- Bachelor's or Master's degree in Automobile Engineering, Mechanical Engineering, Computer Science, AI & Data Science, or related fields.
- Experience with automotive systems, CAD/CAE, design for manufacturing, Python, SQL, data analytics, and machine learning fundamentals.
- Demonstrated exposure to patent creation and intellectual property processes in automotive context.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Experienced in combining physical automotive product engineering with AI-driven digital analytics for aftersales and predictive maintenance solutions.
- Capable of managing end-to-end innovation processes including patent disclosures, cross-functional collaboration, and technology exploration.
- Skilled in leveraging large automotive datasets for actionable insights and developing robust predictive models in an automotive R&D environment.