Hybrid AI Test Engineer — Responsible AI Quality (Cebu)

Xerox; Cebu City; Hybrid; PHP 600,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid work setup

Onsite onboarding month

Job summary

Xerox Holdings Corporation in Cebu City seeks an AI Test Engineer to ensure quality, reliability, and performance of AI-driven applications and ML models. You will design testing strategies, validate systems across scenarios, and collaborate with data scientists and developers.

The role emphasizes responsible AI, bias detection, and scalable test automation across cloud platforms, CI/CD, and testing tools. Two to three years of QA experience and strong communication skills are required.

Qualifications

• Minimum 2-3 years of software testing or QA experience.
• Experience designing and executing test plans and test cases.
• Strong analytical, problem-solving, and debugging skills.

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.
• Collaborate with data scientists, developers, QA teams, IT, and stakeholders.
• Monitor AI systems in production and recommend improvements.
• Ensure compliance with responsible AI and quality standards.
• Document testing outcomes and provide actionable insights.
• Contribute to continuous improvement of testing tools and processes.

Skills

AI/ML testing

Test strategy design

Test case design

Performance testing

Python/Java

Test automation

Agile methodologies

Bias detection & explainability

Education

Bachelor's in Computer Science/Engineering/IT

ISTQB certification advantageous

Agile certifications (preferred)

Tools

Selenium

JUnit

pytest

Job description

Xerox Holdings Corporation in Cebu City seeks an AI Test Engineer to ensure quality, reliability, and performance of AI-driven applications and ML models. You will design testing strategies, validate systems across scenarios, and collaborate with data scientists and developers.

The role emphasizes responsible AI, bias detection, and scalable test automation across cloud platforms, CI/CD, and testing tools. Two to three years of QA experience and strong communication skills are required.