MLOps Engineer (all genders)

TeamViewer provides a leading Digital Workplace platform that connects people with technologyenabling 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 645000 customers across all industries rely on. With more than 1900 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

• Test Strategy & Design: Design implement and maintain comprehensive automated test suites specifically tailored for AI/ML systems covering unit integration and end-to-end scenarios.

• CI/CD Integration: 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).

• Model Quality Assurance: 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.

• Collaboration & Alignment: 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.

• Ethical AI Focus: Actively contribute to implementing and enforcing responsible AI and ethical principles within the QA framework.

Requirements

• Testing Proficiency: Proven experience in test automation quality assurance or software development with strong proficiency in Python or a similar programming language.

• QA & ML Fundamentals: Strong understanding of general QA principles the Software Development Lifecycle (SDLC) and core machine learning concepts.

• Metrics Mastery: Knowledge of key ML evaluation metrics and basic statistical methods (e.g. precision recall F1 score AUC) necessary for interpreting and validating model performance.

• Tool Familiarity: 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).

• Cross-Functional Collaboration: 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.

• Proactive Advocate for Quality: 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.

What we offer

• Onsite Onboarding in our HQ office for an optimal start

• Great compensation and benefits packages including company achievement bonus or sales bonus company stocks and regular salary reviews

• Public transport friendly offices

• 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

• 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

• We celebrate diversity as one of core values join and drive one of the c-a-r-e initiatives together with us!

For this position the collectively agreed minimum salary (IT Collective Agreement) is 3843 gross per month based on a 38.5-hour work week. Naturally a market-competitive overpayment is possible depending on your qualifications professional experience and overall expertise.

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.