Innovation Engineer – Automotive Design, AI & Predictive Analytics (Spare Parts)
Tasks
- Collect preprocess and analyze large automotive datasets
- Conduct design thinking workshops
- Create proof of concepts for future products and services
- Develop AI ML monitoring solutions
- Develop patentable automotive spare part innovations
- Develop predictive models for spare part health anomaly detection and failure prediction
- Drive innovation initiatives for reliability manufacturability and cost optimization
- Evaluate components for design CAE manufacturability and serviceability
- Generate KPIs and performance indicators
- Identify patentable design improvements
- Investigate emerging AI machine learning and generative AI for predictive maintenance and aftersales
- Perform feasibility assessments and concept validation
- Perform warranty analytics
- Support invention disclosure prior art analysis and patent filing
Perks/Benefits
- Accessible workplace
- Cafeteria
- Child care
- Coaching
- Company doctor
- Company pension plan
- Employee discounts
- Employee events
- Flexible working hours
- Food allowance
- Good public transport connection
- Health measures
- Hybrid work
- Mobile phone allowance
- Mobility offers
- Parking
Skills/Tech-stack
Anomaly Detection | CAD | CAE | Data Analysis | Data Preprocessing | Data analytics | Design for Manufacturing | Exploratory Data Analysis | Generative AI | Machine Learning | Predictive Maintenance | Predictive Modeling | Python | SQL
Education
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