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- Understand basic mechanical and automotive engineering concepts.

- Work with engineering teams across Powertrain, Engine Systems, Product Engineering, Manufacturing, Quality, and Reliability.

- Understand component/system behavior and engineering problem statements.

- Apply AI / Data Science solutions to real-world mechanical and automotive engineering use cases.

- Collaborate with domain engineers to interpret technical, product, and engineering data.

- Analyze complex engineering datasets to identify trends, patterns, and actionable insights.

- Develop and support Machine Learning / predictive analytics models for engineering applications.

- Perform data processing, cleaning, transformation, and feature engineering.

- Support engineering teams with data analysis and visualization for technical decision-making.





- Apply statistical and analytical approaches to problems related to manufacturing, quality, reliability, engine, and powertrain systems.

Required Skills

- Python Strong

- Machine Learning / AI

- Data Science

- Data Analysis & Visualization

- Statistics / Predictive Analytics

- Data Processing & Feature Engineering

- Engineering Data Analytics

- Basic Mechanical / Automotive Knowledge

- Manufacturing / Quality / Reliability domain understanding

- Positive understanding of Powertrain / Engine Systems preferred

- Strong analytical and problem-solving skills

- Ability to collaborate effectively with engineering and cross-functional teams

📌 Failure Mode / Product Performance Engineer (Pune)
🏢 Tata Technologies
📍 Pune