onsite
Lead AI Quality Engineer - Randstad Digital
Software Engineer
Lead AI Quality Engineer responsible for designing, implementing, and maintaining robust test frameworks for AI models, ensuring high-quality deliverables across multiple cloud environments using Python, ML, and CI/CD pipelines.
About the role
Key Responsibilities
- Architect and evolve end‑to‑end test suites for AI/ML models, covering unit, integration, and performance testing.
- Collaborate with data scientists and DevOps to integrate automated tests into CI/CD pipelines on AWS and Docker.
- Define quality metrics, monitor model drift, and implement continuous monitoring solutions.
- Mentor a team of QA engineers, fostering best practices in test automation and code quality.
- Lead root‑cause analysis for production incidents and drive preventive measures.
Requirements
- 5+ years of QA experience with a focus on AI/ML products.
- Strong background in cloud services (AWS), containerization (Docker), and CI/CD tooling (Jenkins, GitHub Actions).
- Excellent analytical skills and a passion for data‑driven quality improvement.
- Effective communicator, comfortable leading cross‑functional teams.
Skills
pythonmachine learningtest automationawsdockercicd