In this role, you will design and execute test strategies for our applications, APIs and machine learning models. Your work will involve automated testing, edge-case analysis, and collaboration with cross-functional teams to deliver seamless, high-quality user experiences.

Key responsibilities include:

• Test Automation: Develop automated test suites to validate app features, APIs, and model integrations, ensuring end-to-end reliability and user experience. • 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. • Quality Platform Development: Contribute to building tools and frameworks that enable more efficient and scalable quality testing processes across the organization. • Release Readiness Validation: Implement pre-release quality gates to validate models, APIs, and platform updates, providing a green light for production releases. • Systematic QA Campaigns: Design and lead comprehensive quality assurance campaigns, including functional, stress, and performance testing, to proactively identify potential issues.

About you:

• You have proven ability to create and execute comprehensive test strategies, covering functional, regression, and exploratory testing for AI products. • You are proficient in QA tools like Playwright, Postman, or similar platforms for API and functional testing. • You’re skilled in identifying, documenting, and collaborating with developers to resolve issues efficiently. • You are autonomous and a self-starter. • You are a proactive problem-solver with a continuous improvement mindset. • You are proficient in Python or Typescript.

Now it would be ideal if you have:

• Experience testing Machine Learning models. • Understanding of the Machine Learning lifecycle. • Experience in various types of testing: performance, load, accessibility or others. • Strong debugging skills.

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