Artificial Intelligence Tester

4 days ago

Auckland, Auckland, New Zealand Datacom Full time

About Datacom

Datacom is a leader in the provision of IT services and solutions in Asia. We deliver tailored solutions to meet the unique needs of our clients, leveraging our expertise in technology and innovation.

We are seeking an experienced AI Quality Assurance Engineer to join our team. This role will focus on creating high-quality AI-driven solutions, adopting cutting-edge advancements in machine learning, and ensuring the reliability of AI-based systems.

The ideal candidate will have 4-5 years of experience in test automation, with a strong focus on AI and machine learning-based applications and systems. They 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.
    • Test Automation & Frameworks: Build and maintain automated test frameworks for AI systems using a wide variety of automation tools (e.g., Selenium, Appium, pytest, or custom-built AI testing tools).
      • AI Model Testing: Perform functional and non-functional testing of AI models to assess accuracy, bias, scalability, and robustness.
        • Adopt AI Innovations: Stay up to date with the latest AI advancements and research. Actively explore and adopt emerging AI technologies 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.
            • 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.
              • Continuous Improvement: Implement and continuously improve testing methodologies for AI systems.

Requirements:

  • Experience: 4-5 years of experience in test automation, with a strong focus on AI and machine learning-based applications and systems.
  • Technical Skills:
    • Proficient in programming languages such as Python, C#, Java, or JavaScript.
    • Hands-on experience with automation tools like Selenium, Appium, Pytest, or other testing frameworks.
    • Experience working with cloud-based AI services (e.g., AWS AI/ML, Azure Cognitive Services, Google Cloud AI) as well as on-premise AI solutions.
    • Knowledge of version control systems (e.g., Git) and CI/CD pipelines for automated testing.
      • A basic understanding of AI/ML concepts, including data preprocessing, model training, evaluation metrics, and model fairness.
      • Strong analytical skills to assess AI system performance, debug issues, and design solutions to improve test coverage and efficiency.
      • Demonstrated ability to stay current with AI industry trends and developments.
      • Excellent teamwork and communication skills.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunity to work in a fast-paced and innovative environment.
  • Professional development opportunities.

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