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

Daimler Trucks North America LLC; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Mercedes-Benz Research and Development India Private Limited in Bengaluru (India) seeks an Innovation Engineer specializing in automotive design, AI, and predictive analytics for spare parts. You will bridge physical engineering with intelligent digital solutions and drive patentable concepts from idea to prototype.

The role emphasizes data-driven design, CAD/CAE usage, and collaboration with cross-functional teams across R&D, testing, and aftersales to build advanced monitoring and analytics

Qualifications

• 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.

Responsibilities

• 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.
• Collaborate with design, testing, quality, manufacturing, and aftersales teams.
• 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.

Skills

Python

SQL

Data analytics

Machine learning fundamentals

Predictive modeling

Anomaly detection

Exploratory Data Analysis

Education

B.Tech/M.Tech in Automobile Engineering

B.Tech/M.Tech in Mechanical Engineering

B.Tech/M.Tech in Computer Science

B.Tech/M.Tech in AI & Data Science

Tools

CAD

CAE

DFM

Job description

Job Description - Innovation Engineer – Automotive Design, AI & Predictive Analytics (Spare Parts) (MER00048FS)

Innovation Engineer – Automotive Design, AI & Predictive Analytics (Spare Parts) Group : Mercedes-Benz Group AG

Description

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.
• 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.
• 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.

Qualifications

• 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

Organization

Mercedes-Benz Research and Development India Private Limited

Primary Location

India-Karnataka-Bangalore

Work Locations

Mercedes-Benz Research & Development India, Embassy Crest 'Embassy Crest' Plot No 5, EPIP Zone, Phase 1, 560 066