AI Test Engineer (Hybrid)

Xerox Corporation; Cebu City; Hybrid; PHP 600.000 - 900.000; Vollzeit

Zusammenfassung

The AI Test Engineer at Xerox Holdings Corporation is responsible for ensuring the quality, reliability, accuracy, and performance of AI-driven applications and ML models. This role designs and executes testing strategies, validates AI systems across diverse scenarios, identifies risks and biases, and collaborates with cross-functional teams to deliver responsible AI solutions.

Key responsibilities include developing test plans and automation frameworks, validating models for accuracy and

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Software testing methodologies

AI/ML testing

Test design

Performance testing

Communication

Cross-functional collaboration

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Python

Java

Selenium

JUnit

pytest

TensorFlow

PyTorch

Scikit-learn

CI/CD

Jobbeschreibung

The AI Test Engineer at Xerox Holdings Corporation is responsible for ensuring the quality, reliability, accuracy, and performance of AI-driven applications and ML models. This role designs and executes testing strategies, validates AI systems across diverse scenarios, identifies risks and biases, and collaborates with cross-functional teams to deliver responsible AI solutions.

Key responsibilities include developing test plans and automation frameworks, validating models for accuracy and