Good knowledge and hands-on experience in Artificial Intelligence (AI) technologies, including the development, integration and implementation of AI-related solutions.
Quality Assurance Rigor: Hands-on experience with mid-sprint validation, basic validation flows, and detailed acceptance criteria testing. Ability to co-test alongside engineers rather than relying entirely on end-of-sprint UAT failures.
Track record of improving backend system quality: architecture decisions that held up, services that scaled, and codebases that became easier to work in over time
Conduct on-site inspections and system testing after repairs or maintenance work; assist in installation, commissioning, and upgrading of car park systems when required.