MLOps Engineer

TeamViewer

full-time

Posted on: 12/17/2025

Location Type: Hybrid

Location: Linz • 🇦🇹 Austria

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💰 €3,843 per month

Mid-LevelSenior

JenkinsPythonSDLC

About the role

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.

Proven experience in test automation, quality assurance, or software development, with strong proficiency in Python or a similar programming language.
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.
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).
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.

Benefits

28 days of well-deserved holidays
Onsite Onboarding in our HQ office for an optimal start
Great compensation and benefits packages including company achievement bonus and stock-based options, regular salary reviews
Public transport friendly office
Special terms for local gyms
Fresh organic fruits, muesli, soft drinks and snacks for free
Access to Corporate Benefits platform with many discounts
Regular Team events and company-wide celebrations
Open door policy, no dress code rules and frequent all Hands
Hybrid and Flexible work time with up to 50% home office
Work From Abroad Program allowing up to 40 days of work outside your contracting country

Tip: use these terms in your resume and cover letter to boost ATS matches.

test automationquality assurancePythonmachine learningstatisticsQA principlesML evaluation metricsstatistical methodsautomationCI/CD

communicationcollaborationprocess improvementproactive