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QA P5 (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
QA P5 (AI/ML): Leading quality assurance engineering for high-performance analytics, vehicle event analysis, and coaching workflow engines with an accent on automated testing, test framework architecture, and CI/CD. Focus on designing scalable testing strategies, validating computer vision and machine learning systems, and improving quality decisions through metrics and predictive analytics.
Location: Madrid, Spain
Company
provides data and software services for connected digital experiences across the vehicle lifecycle, homes, and digital identities.
What you will do
- Lead QA engineering for analytics engines using computer vision, machine learning, and sensor fusion in vehicles and the cloud.
- Oversee quality assurance across the full software development lifecycle, from design and implementation through delivery and maintenance.
- Develop testing and automation strategies, test frameworks, procedures, and CI/CD practices.
- Establish quality metrics, monitor system effectiveness, and support product quality decisions.
- Collaborate with customers, software development, QA, and other engineering disciplines to define test cases and technical solutions.
- Build, mentor, and retain a high-performing QA team while managing risk and continuous improvement.
Requirements
- More than 10 years of professional QA experience, including at least 1 year as a QA manager in an agile environment.
- Proven experience leading enterprise-scale testing frameworks, processes, methodologies, and operations.
- Strong knowledge of QA methodologies, software testing, verification and validation, test management, and Test Driven Development.
- Working knowledge of Selenium, TestNG, API and load testing tools, bug tracking tools such as Rally, and test management tools such as qTest.
- Experience with CI/CD environments, modern build and release tools such as Jenkins, AI/ML-driven testing platforms, predictive analytics, and SAFe.
- BS/MS in Computer Science, Computer Engineering, or a related technical field, or equivalent professional development.
Culture & Benefits
- Collaborative, open, flexible, and fast-paced working environment.
- Emphasis on empathy, customer focus, coaching, strategic thinking, and continuous improvement.
- Opportunities to mentor others, learn new technologies, and address technical debt.
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