AI QA Engineer: Automate Tests for Models & APIs

Requirements

• If you thrive in a dynamic environment and are passionate about quality in AI systems, this is a perfect opportunity to make a tangible impact
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• You have proven ability to create and execute comprehensive test strategies, covering functional, regression, and exploratory testing for AI products
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• You are proficient in QA tools like Playwright, Postman, or similar platforms for API and functional testing
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• You’re skilled in identifying, documenting, and collaborating with developers to resolve issues efficiently
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• You are autonomous and a self-starter
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• You are a proactive problem-solver with a continuous improvement mindset
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• You are proficient in Python or Typescript
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• (Desirable) Experience testing Machine Learning models
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• (Desirable) Understanding of the Machine Learning lifecycle
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• (Desirable) Experience in various types of testing : performance, load, accessibility or others
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• (Desirable) Strong debugging skills

What the job involves

• We are seeking a skilled and proactive QA Engineer to join our team and ensure the reliability, accuracy, and robustness of our AI-powered products
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• In this role, you will design and execute test strategies for our applications, APIs and machine learning models
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• Your work will involve automated testing, edge-case analysis, and collaboration with cross-functional teams to deliver seamless, high-quality user experiences
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• Test Automation: Develop automated test suites to validate app features, APIs, and model integrations, ensuring end-to-end reliability and user experience
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• Edge Case Analysis: Collaborate with PMs and other stakeholders to identify and rigorously test edge cases, improving the robustness of both platform features and models
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• Quality Platform Development: Contribute to building tools and frameworks that enable more efficient and scalable quality testing processes across the organization
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• Release Readiness Validation: Implement pre-release quality gates to validate models, APIs, and platform updates, providing a green light for production releases
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• Systematic QA Campaigns: Design and lead comprehensive quality assurance campaigns, including functional, stress, and performance testing, to proactively identify potential issues