





Generic mid-level title, broad skill requirements, and strong employer brand increase competition.
Skills are broadly transferable, though automotive standards (ASPICE/ISO 26262) raise domain specificity.
Specific Python, ML, test automation, CI/CD skills required, but no explicit years specified.
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Develop and maintain Python automation frameworks for integration and system testing of automotive software.
Build and implement AI/ML-based solutions to enhance test automation, defect detection, log analysis, and test result prediction.
Analyze vehicle logs and test data, integrate automation into CI/CD pipelines, and collaborate with cross-functional teams to improve test coverage and quality.
Strong programming skills in Python with experience in automation frameworks like PyTest, Robot Framework, or unittest.
Hands-on experience with Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
Experience with data analysis tools like Pandas and NumPy and familiarity with REST APIs, JSON, XML.
Work Experience Required: Not explicitly mentioned in the JD.
Has practical experience in automotive software testing or integration testing environment.
Capable of working with CI/CD pipelines and test management tools, showing a strong integration and automation mindset.
Experienced in developing AI/ML solutions aimed at improving test automation or intelligent automotive log analysis.