AI Quality Assurance Lead

About Datacom

With over 6,200 people, and centre’s 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 Lead 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 over 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 product teams to identify testing requirements, troubleshoot issues, and improve overall AI system quality. Provide feedback and insights on AI solution design from a QA perspective.
• Continuous Improvement : Implement and continuously improve testing methodologies for AI systems. Drive automation efficiency and effectiveness, ensuring that testing is not only comprehensive but also aligned with fast‑paced AI development cycles.
• Pipeline development : Can describe and demonstrate the place and value propositions for test automation pipelines with AI solutions using PaaS (e.g., Azure DevOps, GitHub Actions).
• Quality Metrics & Reporting : Establish key quality metrics for AI systems, track progress, and report on the effectiveness of AI testing strategies. Maintain clear, concise, and actionable documentation and reports on test outcomes, issues found, and resolutions.
• Communication Skills : Ability to communicate (both written and orally) abstract concepts and value points to stakeholders in terms that can be understood and discussed.

Skills & Qualifications

Proficient in programming languages such as Python, C#, Java, or Typescript with a strong proficiency in python.

Preferred Qualifications

Why join us here at Datacom?

If you're a proactive, tech‑savvy AI QA engineer with a strong automation background and a passion for staying ahead of AI developments, we'd love to hear from you!

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