Quality Engineer AI-augmented - PTA GmbH

Key Responsibilities

• Develop and maintain automated test frameworks for AI/ML models and data pipelines.
• Design test cases that validate model performance, robustness, and compliance with quality standards.
• Integrate continuous testing into CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions.
• Collaborate with data scientists, software engineers, and product owners to define quality metrics and acceptance criteria for AI features.
• Monitor and analyze test results, perform root‑cause analysis, and drive corrective actions.
• Ensure reproducibility and traceability of experiments by managing versioned datasets and model artifacts in cloud environments.

Requirements

• Strong programming skills in Python and experience with ML libraries such as TensorFlow or PyTorch.
• Hands‑on experience with cloud platforms (e.g., AWS) and containerization technologies like Docker.
• Proficiency in building CI/CD pipelines and automated testing frameworks for software and ML models.
• Understanding of statistical methods, model evaluation metrics, and data quality concepts.
• Excellent analytical mindset, problem‑solving abilities, and effective communication within cross‑functional teams.