Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
Data pipeline testing and model evaluation metrics
Cloud platforms (AWS, Azure, GCP)
CI/CD pipelines and automation practices
AI ethics, bias detection, and explainability concepts
Agile development methodologies
Key Responsibilities
Develop and execute test plans, test cases, and automation frameworks for AI solutions.
Validate AI models for accuracy, robustness, fairness, and reliability.
Perform performance and scalability testing on AI-powered applications.
Create real-world and synthetic test scenarios.
Identify defects, edge cases, biases, and risks within AI systems.
Collaborate with data scientists, developers, QA teams, IT, and business stakeholders.
Monitor AI systems in production and recommend improvements.
Ensure compliance with responsible AI and quality standards.
Document testing outcomes and providing actionable insights.
Contribute to continuous improvement of testing tools and processes.
Key Outputs / Tangible Results
AI test plans and test cases
Automated test scripts and testing datasets
AI model validation and performance reports
Defect and root cause analysis documentation
Quality assurance metrics and testing reports
Monitoring and improvement recommendations
Enhanced testing frameworks and processes
Organizational Strategies & Objectives
Deliver reliable, scalable, and high-performing AI solutions.
Promote responsible AI practices through comprehensive testing and validation.
Improve quality assurance standards through automation and continuous improvement.
Enable effective collaboration between technical and business teams.
Relevant Credentials
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
ISTQB certification is an advantage.
Agile-related certifications or training are preferred but not required.
Must Haves
Minimum 2-3 years of software testing or quality assurance experience.
Experience designing and executing test plans and test cases.
Strong analytical, problem-solving, and debugging skills.
Excellent verbal and written communication skills.
Ability to work effectively in a cross-functional environment.
Nice to Haves
At least 1 year of AI testing experience.
At least 1 year of cloud engineering experience.
Experience testing machine learning models and AI applications.
Exposure to MLOps, AI monitoring, and Responsible AI practices.
ISTQB certification or Agile certifications.
Role Considerations
Hybrid work setup. First month requires full-time onsite work for onboarding and training.
Work location: Lexmark Plaza 1, Cebu Business Park, Cebu City.
#LI-Onsite
#LI-NL1
