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About Us
One of our clients who is heavily involved in AI implementations is looking for someone brilliant to join their team.
Job Overview
They are looking for a Software QA Engineer to join the team and ensure the quality, reliability, and performance of the full-stack AI application. The ideal candidate should have experience testing full-stack applications and a good understanding of machine learning (ML) model evaluation. You will work closely with developers, data scientists, and DevOps engineers to implement robust testing strategies, ensuring our AI-powered solutions meet high standards of accuracy and performance.
Key Responsibilities
Full-Stack Testing
- Test full-stack applications, ensuring functionality, security, and performance meet requirements. UI testingcross-browser and mobile compatibility testinguser interactionsAPI testingunit tests, integration tests, and automated test scriptsCI/CD pipelines
AI/ML Testing
- edge cases and client requirementsquality of LLM outputsload testingmodel evaluation techniquesbottlenecksaccuracy and efficiencyML concepts
Required Qualifications & Skills
- 3+ yearsmanual and automated testing methodologiesSelenium, Cypress, or similar UI automation toolsAPI testing toolsCI/CD processes and test automation frameworksRESTful APIs, OAuth, JWT authenticationperformance and load testing toolsML evaluation metrics
- Strong analytical and problem-solving skills with attention to detail.
Preferred Qualifications
- ML workflowsmultithreading, multiprocessing, and async/sync processesAgile development environmentcloud platforms (AWS, Azure, GCP)performance optimizations
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