Innovation Engineer – Automotive Design, AI & Predictive Analytics (Spare Parts)
Bangalore, Indien
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingIdentify and develop patentable design improvements for automotive spare parts
Support invention disclosures, prior-art analysis and patent filings
Develop predictive models for spare part health, anomaly detection and failure prediction
Analyze service records, warranty claims, telematics and sensor data for patterns
Evaluate components for design, CAE, manufacturability and serviceability
From the employer’s posting
Identify and develop patentable design improvements for automotive spare parts.
Support invention disclosure, prior-art analysis, and patent filing activities.
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.
Evaluate automotive components from design, CAE, manufacturability, and serviceability perspectives.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- Working knowledge of CAD, CAE, and Design for Manufacturing (DFM). - Experience in Python, SQL, data analytics, and machine learning fundamentals. - Knowledge of predictive modeling, anomaly detection, and Exploratory Data Analysis
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 22, 2026 · 32 days ago
- Recorded sightings
- 202
- Last seen by us
- Oct 24, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.mercedes-benz.com. The employer’s form will show what is required.
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Job description
Aufgaben
Project Exclusivity
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.
Qualifikationen
- B.Tech/M.Tech in Automobile Engineering, Mechanical Engineering, Computer Science, AI & Data Science, or related disciplines.
- Strong understanding of automotive systems, components, and aftersales processes.
- Working knowledge of CAD, CAE, and Design for Manufacturing (DFM).
- Experience in Python, SQL, data analytics, and machine learning fundamentals.
- Knowledge of predictive modeling, anomaly detection, and Exploratory Data Analysis
- Demonstrated innovation mindset with exposure to patent generation and intellectual property processes.
- Strong analytical, problem-solving, communication, and stakeholder management skills
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, Indien
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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