Senior AI Model Validator

Há 6 dias

São Bernardo do Campo, São Paulo, Brasil beBeeTester Tempo inteiro US$80.000 - US$90.000
Software Tester

AgileEngine is an award-winning software development company that creates innovative solutions for Fortune 500 brands and trailblazing startups across various industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

Key Responsibilities:
  • We are looking for a skilled Software Tester who can design and execute automated and manual end-to-end test strategies across all layers of the testing pyramid.
  • You will validate AI model performance, including accuracy, confidence thresholds, and fallback behavior.
  • Automate quality processes from data ingestion to extraction and classification, with a focus on speed, repeatability, and resilience.
  • You will test and validate integration points between AI components and core business logic.
  • Maintain Test Infrastructure and Define Quality Gates, Automated Scripts, and Synthetic Data.
  • Define and track quality metrics that matter to the business (e.g., turnaround time, confidence scores, correction rates).
Requirements:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
  • 3+ years of experience in QA, Test Engineering, or related roles with a strong grasp of QA methodologies.
  • Solid understanding of SDLC, Agile methodologies, and software quality principles.
  • Hands-on experience with automation frameworks like Pytest, Selenium, Cypress, Postman, etc.
  • Comfortable working with REST APIs, data pipelines, and backend services.
  • Familiarity with cloud platforms (AWS or Azure) and CI/CD tools.
  • Detail-oriented mindset with a sharp eye for edge cases and a strong sense of ownership.
  • Quick, proactive learner—especially important in the fast-evolving world of AI.
Nice to Haves:
  • Experience testing AI/ML systems in production environments.
  • Familiarity with GenAI model evaluation metrics.
  • Experience setting up monitoring/alerting for model drift, workflow failures, or performance issues.

Competitive USD-based compensation package, professional growth opportunities, and exciting projects to work on.

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