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Brand, junior generalist role, metro location, and broad skills make competition high.
Requires automotive electrical and embedded systems knowledge, reducing cross-industry transferability.
Explicit 0–3 years, automotive domain knowledge, and mandatory Python/SQL moderately tighten shortlisting.
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Develop and maintain automated data pipelines and analytics for electrical component and vehicle testing data to improve product validation and root cause analysis.
Create AI and machine learning models to detect patterns, anomalies, and predict behavior of automotive electrical systems.
Collaborate with engineering teams to translate complex lab and vehicle data into actionable engineering insights.
Bachelor's or Master's degree in Electrical Engineering, Electronics, Data Science, Artificial Intelligence, or related field.
0–3 years of experience in Data Engineering, AI, Machine Learning, or Analytics.
Strong programming skills in Python, with good understanding of SQL and data manipulation.
Strong basics in automotive electrical and embedded systems.
Experienced with automotive electrical component testing data and familiar with vehicle communication protocols like CAN, LIN.
Capable of developing data-driven solutions and AI models applied to real-world automotive engineering challenges.
Comfortable working in cross-functional engineering teams, bridging data science and automotive domain expertise.