Innovation Engineer – Automotive Design, AI & Predictive Analytics (Spare Parts)

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Objective

Develop patentable automotive spare part innovations and AI/ML-based monitoring solutions by combining expertise in automotive engineering, CAD/CAE, manufacturability, data analytics, and intellectual property development.

Scope of Work

Innovation & Patent Development

Identify and develop patentable design improvements for automotive spare parts.
Conduct design thinking workshops with R&D and cross-functional teams to generate innovative concepts.
Support invention disclosure, prior-art analysis, and patent filing activities.
Drive innovation initiatives focused on product enhancement, reliability, manufacturability, and cost optimization.

Automotive Design & Engineering

Evaluate automotive components from design, CAE, manufacturability, and serviceability perspectives.
Perform feasibility assessments and support concept validation activities.
Collaborate with design, testing, quality, manufacturing, and aftersales teams.

AI/ML & Aftersales Analytics

Develop predictive models and monitoring algorithms for spare part health, anomaly detection, failure prediction, and warranty analytics.
Leverage service records, warranty claims, vehicle diagnostics, telematics, sensor data, and parts sales data to identify patterns and trends.
Support development, validation, and continuous improvement of AI/ML algorithms and monitoring solutions.

Data Analytics & Insights

Collect, preprocess, and analyze large datasets from multiple automotive data sources.
Generate actionable insights, KPIs, and performance indicators to support business and engineering decisions.

Research & Technology Exploration

Investigate emerging technologies in AI, Machine Learning, Generative AI, Predictive Maintenance, and Automotive Aftersales.
Create proof-of-concepts and assess applicability to future products and services.

Engineer with a proven passion for innovation, automotive product development, patent creation, and AI-driven analytics, capable of bridging physical product engineering with intelligent digital solutions.