About Datacom With over 6,200 people, and centres of technical excellence spread across Australasia, Datacom is committed to developing and growing its capability across Asia. Founded in 1965 in New Zealand, and with over 2 decades of operating in Malaysia and the Philippines, Datacom has experienced expediential growth. Through all this, Datacom has maintained high levels of profitability with a track record of delivering innovative, cost effective digital and technology solutions, all delivered by dynamic teams spread across various locations.

Our people are the best in their fields smart, passionate, and dedicated to providing exceptional IT services to our customers. This makes for a rewarding and fast-paced place to work. Our purpose Here at Datacom we connect people and technology in order to solve challenges, create opportunities and discover new possibilities for the communities we live in.

Position Overview We are seeking an enthusiastic and innovative AI Quality Assurance (QA) Engineer who is passionate about the latest developments in AI and machine learning. This role will focus on creating AI-driven QA solutions, adopting cutting-edge AI advancements, and ensuring the quality and reliability of AI-based systems. With 4-5 years of experience in test automation across a wide range of tools, the ideal candidate will be proactive in adopting new technologies, ensuring the robustness and accuracy of AI models, and driving the quality agenda within the organization.

Key Responsibilities AI QA Solutions Development: Design, develop, and implement advanced AI-powered QA automation solutions for testing AI-based applications, models, and systems. Use innovative techniques to identify performance bottlenecks, inconsistencies, and model biases. Test Automation & Frameworks: Build and maintain automated test frameworks for AI systems using a wide variety of automation tools (e.

g., Playwright, Appium, pytest, or custom-built AI testing tools). Ensure that test automation strategies are scalable, reusable, and aligned with industry best practices.

Senior test automation coding skills in at least one of the following languages: python, typescript, java, C#. AI Model Testing: Perform functional and non-functional testing of AI models to assess accuracy, bias, scalability, and robustness. Conduct regression testing and ensure that AI solutions behave as expected across different scenarios.

Adopt AI Innovations: Stay up to date with the latest AI advancements and research. Actively explore and adopt emerging AI technologies (e.g.

, GPT models, neural networks, reinforcement learning) to continuously improve the quality assurance process. Cloud and On-Premise AI Services: Test and validate AI solutions hosted on both cloud platforms (e.g.

, AWS, Azure, Google Cloud) and on-premise AI services. Ensure that the AI solutions perform optimally across both environments. Cross-functional Collaboration: Work closely with AI developers, data scientists, and pro.