QA Engineer - AI projects

🧠 QA Engineer (AI & Machine Learning) – Healthcare Startup

Location: Eindhoven

Employment Type: Full-time

Salary: Competitive + Equity Options

About Us

We’re a fast-growing healthcare startup on a mission to transform how clinical decisions are made through the power of artificial intelligence. The AI-driven platform helps clinicians deliver faster, more accurate diagnoses — improving patient outcomes and saving lives.

They are now looking for a QA Engineer with a deep interest in AI systems and machine learning validation to join our passionate, cross-functional team.

The Role

As our QA Engineer, you’ll take ownership of the testing strategy and quality assurance process for our AI products — from data pipelines to model outputs and end-user interfaces. You’ll work closely with data scientists, ML engineers, and clinicians to ensure our algorithms are safe, robust, and trustworthy.

What you’ll do:

• Design and implement automated and manual test frameworks for AI and ML components.
• Develop evaluation protocols to assess model accuracy, fairness, and performance.
• Validate data quality, preprocessing pipelines, and integration points with clinical systems.
• Collaborate with regulatory and compliance teams to ensure testing meets healthcare and AI safety standards (e.g. MHRA, ISO 13485, GxP).
• Build monitoring tools for post-deployment AI behaviour and model drift.
• Champion a culture of “quality-first” within the product and engineering teams.

About You

You’re a detail-oriented QA professional who thrives on solving complex problems and believes in the power of AI to make healthcare better — but only if it’s built and tested responsibly.

You’ll bring:

• 3+ years’ experience in software QA, with at least 1 year focused on AI, ML, or data-driven systems.
• Solid understanding of Python, CI/CD pipelines, and test automation frameworks (e.g. PyTest, Robot Framework, or Cypress).
• Experience testing data pipelines, APIs, and model inference endpoints.
• Familiarity with AI metrics (precision, recall, ROC AUC, etc.) and validation methodologies.
• Strong communication skills and the ability to collaborate with data scientists and clinicians alike.
• Bonus: knowledge of healthcare data standards (FHIR, HL7) or regulatory frameworks for AI in medical devices.

Why Join Us

• 🚀 Be part of a mission-driven startup tackling one of healthcare’s biggest challenges.
• 🧩 Work on cutting-edge AI systems that directly impact patient care.
• 💡 Flat hierarchy, open culture, and plenty of room to innovate.
• 🌱 Continuous learning opportunities — from ML explainability to regulatory AI testing.
• 💻 Flexible hybrid/remote working setup.