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Popular Python/ML role, metro location, and recognizable employer increase applicant competition.
Core Python and ML skills are transferable, but automotive domain knowledge increases bias.
Technical filters for Python, ML, automation, and CI/CD but no explicit years required.
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Develop and maintain Python-based automation frameworks for integration and system testing of automotive software and connected vehicle systems.
Build AI/ML-based solutions to enhance test automation, defect detection, log analysis, and test result prediction.
Analyze vehicle logs and test data, integrate automation with CI/CD pipelines, and collaborate with cross-functional teams to improve test coverage and quality.
Strong programming skills in Python and experience with automation frameworks such as PyTest, Robot Framework, or unittest.
Hands-on experience with Machine Learning libraries like Scikit-learn, TensorFlow, or PyTorch and data analysis using Pandas and NumPy.
Experience integrating test automation with CI/CD tools such as Jenkins or GitLab CI, and familiarity with Git.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in Python development specifically for automation and testing in automotive or embedded software environments.
Skilled at applying Machine Learning techniques for test automation, log analysis, and data-driven quality improvements.
Collaborative working style, capable of effectively partnering with software developers, test engineers, and system architects in complex integrated automotive systems.