T2017 Failure Mode / Product Performance Engineer

Job Description*

• 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
• Good understanding of Powertrain / Engine Systems preferred
• Strong analytical and problem-solving skills
• Ability to collaborate effectively with engineering and cross-functional teams