QA Engineer

hace 2 semanas

Desde casa, México AgileEngine A tiempo completo

**What you will do**- Architect and oversee end-to-end test strategies across different layers in the testing pyramid;- Define, evaluate, and monitor model validation criteria, including accuracy threshold, confidence scoring, fallback behaviors, etc.;- Drive the automation of QA processes, ensuring robust, scalable processes for data ingestion, extraction, and classification;- Lead the validation integration points between AI components and business logic, identifying risks and ensuring seamless operation;- Own, maintain, and evolve the test infrastructure, specifically the CI/CD quality gates, data generation, and automated validation scripts;- Establish and monitor key quality metrics aligned with the business goals, including turnaround time, confidence scores, and user corrections;- Act as a strategic partner to Product and Engineering, and advocate for quality from design through delivery;- Sense of ownership, take ownership of code quality through exploratory and automated tests.**Must haves**- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field experience;- 5+ years in AQA, Software Test Engineering, or related roles, including leadership responsibilities;- Experience in AQA Javascript;- Solid knowledge of software development life cycle (SDLC), Agile methodologies, and Quality Assurance or Quality Engineering methodologies;- Proven experience building and scaling test automation frameworks (e.g. Pytest, Cypress, Selenium, Postman, etc.). Strong technical skills with REST APIs, data, pipelines, and backend services;- Strong technical background with APIs, CI/CD pipelines, backend services, and cloud environments (AWS, Azure);- Exceptional attention to detail, with a mindset for building robust systems that catch issues early and protect the customer experience;- Demonstrated fast, proactive learning skills, especially crucial in the rapidly changing field of AI;- Uppper-Intermediate English level.**Nice to haves**- Experience testing AI/ML in production environments;- Experience with GenAI model evaluation metrics;- Experience setting up proactive monitoring and alerting systems to catch issues like model drift, performance degradation, or workflow failures.**The benefits of joining us**- **Professional growth**:Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.- **Competitive compensation**:We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.- **A selection of exciting projects**:Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.- **Flextime**:Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive.- Good luck We're rooting for you _Work Location: Remote

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