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 Robust
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
Solid analytical and problem-solving skills
Ability to collaborate effectively with engineering and cross-functional teams

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