2 дня назад
Senior Test Manager & Quality Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Test Manager & Quality Engineer (AI/ML): Testing AI and ML solutions throughout their lifecycle with an accent on automation frameworks and LLM evaluation. Focus on designing scalable testing patterns for model APIs, orchestrating CI/CD pipelines, and ensuring quality for RAG and agentic workflows.
Location: Zurich, Switzerland
Company
A leading global private bank specializing in wealth management.
What you will do
- Define and evolve the technical testing approach and framework architecture for the ML & AI ART.
- Design reusable, scalable testing patterns including page objects, API clients, and test data builders.
- Automate test cases using Python-based frameworks (Playwright, pytest, Behave) and integrate them into GitLab CI/CD pipelines.
- Implement AI/ML-specific test cases and evaluation pipelines for LLM outputs, RAG, and agentic workflows.
- Collaborate with ML Engineer teams and Product Owners within a SAFe (Agile Release Train) environment.
- Triage execution results in Jira and manage the use of synthetic or anonymized test data.
Requirements
- 5–7 years of experience in Quality Assurance and Testing for data and ML platforms.
- Substantial hands-on Python experience, including framework design and execution at scale.
- Proficiency with Git, Docker, and a basic understanding of Kubernetes.
- Understanding of API design, microservices, and event-driven architectures.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- English: Fluency required.
Nice to have
- Experience working in regulated environments such as financial services, healthcare, or pharma.
- ISTQB Foundation certification.
- SAFe (SP, SSM) or DevOps certifications.
- Working knowledge of German.
Culture & Benefits
- Entrepreneurial and empowering work environment that values individual qualities.
- Opportunity to shape the future of wealth management through AI and ML integration.
- Collaborative team culture within a modern Agile Release Train (ART).
- Focus on professional growth in the cutting-edge domain of AI quality assurance.
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