10 часов назад
Data Quality & Benchmarking Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Quality & Benchmarking Engineer (AI/Python): Strengthening the quality process of the DataPilot product and ML platform components with an accent on early validation, dataset-based regression testing, and benchmarking. Focus on designing validation scenarios, measuring system performance, and reducing the gap between technical design and final implementation.
Location: Darmstadt, Germany
Company
is a company developing DataPilot, an AI-driven data and ML platform.
What you will do
- Review product requirements and technical designs to translate them into validation scenarios and test plans.
- Define and maintain a structured catalog of test datasets, including golden, dirty, and regression datasets.
- Validate data processing behavior, labeling flows, correction flows, and user-facing results.
- Design and execute benchmark scenarios for timeseries platform features and Kubeflow pipelines.
- Measure and analyze runtime, memory usage, throughput, scalability limits, and failure behavior.
- Collaborate with cross-functional engineering teams to improve the Definition of Done and quality gates.
Requirements
- 2+ years of experience in quality engineering, SDET, or data platform testing.
- Experience testing complex backend services, APIs, and data processing pipelines.
- Practical experience with Python-based testing or scripting.
- Ability to convert product requirements (PRDs) into concrete test scenarios.
- Familiarity with CI/CD workflows and containerized environments (Docker).
- Must be based in or able to work in Darmstadt, Germany.
Nice to have
- Basic understanding of Data/ML Pipelines.
- Experience with performance benchmarking.
- Experience with time-series data processing.
Culture & Benefits
- Embedded role within the development team to ensure early validation and feedback.
- Focus on quality as a shared engineering practice rather than a final handover step.
- Opportunity to work on high-impact AI and ML platform components.
- Permanent employment contract.
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