T2017 Failure Mode / Product Performance Engineer

Tata Technologies; Pune District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Tata Technologies in Pune, India seeks a data science–driven engineer to apply AI and analytics to mechanical and automotive projects. You will work with Powertrain, Engine Systems, Product Engineering, Manufacturing, Quality and Reliability teams to derive actionable insights from complex datasets.

You will develop ML models and perform data preprocessing, feature engineering and visualization to support technical decisions and product optimization.

Qualifications

• Proficiency in Python for engineering data tasks.
• Strong foundation in ML/AI and data science.
• Experience with data analysis, visualization, and statistics.
• Ability to process, clean, transform data and create features.
• Understanding of powertrain and engine systems is a plus.

Responsibilities

• Understand mechanical and automotive concepts and work with engineering teams.
• Apply AI/Data Science solutions to real-world engineering use cases.
• Develop and support ML/predictive analytics models for engineering applications.
• Perform data processing, cleaning, transformation, and feature engineering.
• Support decision-making with data analysis and visualization.

Skills

Python Strong

Machine Learning / AI

Data Science

Data Analysis & Visualization

Statistics / Predictive Analytics

Data Processing & Feature Engineering

Engineering Data Analytics

Basic Mechanical / Automotive Knowing

Manufacturing / Quality / Reliability

Powertrain / Engine Systems

Analytical & Problem-Solving

Cross-functional Collaboration

Job description

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