MC
McCormick & CompanySenior QA Manager
Manage QA departments ensuring quality in food production at McCormick. Lead regulatory compliance and team development while driving quality standards.
About the role
- Design and execute comprehensive testing strategies specifically for AI and ML models, focusing on accuracy, robustness, and performance
- Perform extensive testing to identify and mitigate biases or discriminatory outcomes in AI models, ensuring they adhere to ethical AI principles
- Balance the use of manual and automated testing methods
- Perform manual exploratory testing on complex, non-deterministic AI outputs (e.g., Large Language Models) while building and maintaining automated suites for consistent regression testing
- Develop, maintain, and scale automated AI-based test cases using scripting languages such as Python or JavaScript
- Integrate automated tests into CI/CD pipelines to enable continuous model evaluation and rapid delivery
- Test data pipelines, feature engineering, and data quality to ensure models are trained on clean and reliable data
- Create and execute test cases to challenge the AI model with edge cases and adversarial inputs to ensure safety and stability
- Identify, document, and track software and AI model defects with detailed, reproducible steps
- Work with development teams to prioritize and resolve issues
- Work with DevOps, QA leadership to configure monitoring tools and define metrics for tracking post-deployment model health and detecting performance degradation or "model drift"
- Stay up to date with emerging QA automation trends, AI testing methodologies, and tools
Requirements
- Bachelor’s degree in computer science, Data Science, or related technical field
- 10 years+ experience in a hybrid QA role, with a strong background in both manual and automated testing
- Direct, hands-on experience testing AI applications or ML models in a production environment (preferred)
- Strong skills with automation frameworks and tools such as Playwright, Selenium, or similar (preferred)
- Proficiency in typescript, as well as Python being highly preferred due to its prevalence in ML (preferred)
- Solid understanding of software quality assurance methodologies, testing tools, and processes within an Agile development lifecycle (preferred)
- Excellent analytical and problem-solving skills with a keen eye for detail
- Strong written and verbal communication skills, with the ability to articulate complex issues to both technical and non-technical stakeholders
Benefits
- Medical, Dental, and Vision Insurance Options
- Life and Disability Insurance
- Paid Time-Off
- Parental Benefits
- Compassionate Care Leave
- 401k with Company Match
- Employee Stock Purchase Plan
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