Mercedes-Benz Research and Development India Private Limited
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Bengaluru · On-site · 1-3 Yrs · Oct 21
Transportation Equipment Manufacturing · 10000+ Employees · Stuttgart, Germany
Mercedes-Benz Group AG is one of the world's most successful automotive companies. With Mercedes-Benz AG, we are one of the leading global suppliers of premium and luxury cars and vans. Mercedes-Benz Mobility AG offers financing, leasing, car subscription and car rental, fleet management, digital services for charging and payment, insurance brokerage, as well as innovative mobility services.
Hiring: Engineering
What employees say
+ Good place to learn Work life balance
− Too much politics Learning depends on which project you are
More reviews on the company profile.
Interview experience · Python Developer
Nice Process 1. HR, 2. Test, 3. Project Head, 4. CEO Just basic intro and a test containing a word file, ask to build a app in fast api, Submitted and got response, The call with project head about role and responsi
Easy difficulty · Bengaluru · 74 reports
More interview insightsJob description
Overview
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.
Responsibilities
- 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.
- 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.
- Collect, preprocess, and analyze large datasets from multiple automotive data sources.
- Generate actionable insights, KPIs, and performance indicators to support business and engineering decisions.
- 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.
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
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Job application FAQ
Last updated 4 November 2026
- How do I apply for Innovation Engineer – Automotive Design, AI & Predictive Analytics (Spare Parts) at Mercedes-Benz Research and Development India Private Limited?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Mercedes-Benz Research and Development India Private Limited may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Innovation Engineer – Automotive Design, AI & Predictive Analytics (Spare Parts) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Innovation Engineer – Automotive Design, AI & Predictive Analytics (Spare Parts) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Innovation Engineer – Automotive Design, AI & Predictive Analytics (Spare Parts) role at Mercedes-Benz Research and Development India Private Limited?
- This is a mid-level Innovation Engineer – Automotive Design, AI & Predictive Analytics (Spare Parts) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.