Level: Erfahren

Job Feld: Data, Test/QA

Anstellung: Vollzeit

Vertragsart: Unbefristetes Dienstverhältnis

Gehalt: ab 3.843 € Brutto/Monat

Ort: Linz

Arbeitsmodell: Hybrid, Onsite

Job Zusammenfassung

In dieser Position entwickelst du automatisierte Tests für AI/ML-Systeme und integrierst diese in CI/CD-Pipelines, um die Qualität und Performance der Modelle zu sichern und zu verbessern.

Job Technologien

Deine Rolle im Team

Design, implement, and maintain comprehensive automated test suites specifically tailored for AI/ML systems, covering unit, integration, and end-to-end scenarios.
Integrate testing workflows into the Continuous Integration/Continuous Delivery (CI/CD) pipelines, managing regression runs and optimizing testing strategies for the unique characteristics of AI components (model performance, latency, and drift).
Apply knowledge of machine learning and statistics to design meaningful validation tests, interpret model outputs, and continuously assess datasets for quality, completeness, and potential bias or drift.
Work closely with Product Owners, Technical Leads, Developers, and AI Engineers to ensure testability is baked into the model design from the start, driving continuous improvement in AI-related QA processes.
Actively contribute to implementing and enforcing responsible AI and ethical principles within the QA framework.

Unsere Erwartungen an dich

Qualifikationen

Strong understanding of general QA principles, the Software Development Lifecycle (SDLC), and core machine learning concepts.
Knowledge of key ML evaluation metrics and basic statistical methods (e.g., precision, recall, F1 score, AUC) necessary for interpreting and validating model performance.
You possess strong communication and collaboration skills to effectively bridge the gap between AI Engineers (model builders) and Software Engineers (system builders), driving a unified quality standard.
You are a proactive driver of process improvement, always looking for ways to automate testing, increase coverage, and ensure the reliability and ethical soundness of production models.

Erfahrung

Proven experience in test automation, quality assurance, or software development, with strong proficiency in Python or a similar programming language.
Practical experience with AI evaluation and tracking tools (e.g., MLflow, Weights & Biases) and familiarity with standard automation/CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions).