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AI QA Engineer (all genders)

About the position

TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities Design, implement, and maintain automated tests , especially for systems using AI/ML models Integrate tests into CI/CD pipelines , monitor regression runs, and adjust strategies for AI components Create and maintain comprehensive test plans covering requirements, use cases, and AI-specific quality aspects (performance, accuracy, robustness, fairness) Actively contribute to scrum ceremonies , providing feedback from both a user and AI quality perspective Collaborate with Product Owners , Tech Leads , Developers , and AI Engineers from use case definition to model refinement to ensure testability Assess datasets for quality and bias and evaluate their impact on model behavior Apply foundational knowledge of machine learning and statistics to design meaningful tests and interpret AI results Drive continuous improvement in QA processes, especially AI-related testing methods Work closely with QA colleagues and development teams across units to align on quality standards and address AI-specific challenges Requirements Experience in test automation , software development , or quality assurance , with proficiency in Python or similar languages Strong understanding of QA principles , SDLC , and foundational machine learning concepts Ability to design meaningful AI/ML test scenarios , focusing on model behavior, edge cases, and reliability Knowledge of evaluation metrics and basic statistical methods (precision, recall, F1, AUC, distributions, sampling) Experience assessing datasets , including labeling, data quality checks, and identifying bias , data drift , or concept drift Familiarity with AI evaluation tools (e.g., MLflow, Weights & Biases) and standard automation or CI/CD tools (e.g., Selenium, GitLab, Jenkins) Awareness of ethical AI principles and best practices for responsible AI Good communication skills to collaborate with different stakeholders What we offer Onsite Onboarding in our HQ office for an optimal start An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe with classification ST1/rule: EUR 3.954, with ST2/rule: EUR 4.611 gross/month) 28 days of well-deserved holidays Great benefits package including company achievement bonus Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

Place of work

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Oberösterreich
app.general.countries.Austria

About the company

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Job ID: 10234783 / Ref: 9f401e71f07c4d9601b7e3cc7456575a

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