AI Quality Assurance Professional

2 weeks ago

Islamabad, Islamabad, Pakistan beBeeSoftware Full time

About the Role

Job Summary

We are seeking an experienced Software QA Engineer to assist with the creation and execution of automated and manual test cases for our software applications.

Key Responsibilities
  • Validate model outputs against ground-truth data, test cases, and business requirements.
  • Evaluate correctness, relevance, fairness, and consistency of model predictions.
  • Design test cases to handle exceptions, edge cases, and out-of-distribution data.
  • Monitor latency, throughput, and memory usage of AI pipelines.
  • Identify bottlenecks and collaborate with engineering teams to optimize performance.
  • Conduct stress, load, and scalability testing for deployed AI systems.
  • Develop manual and automated test suites for AI workflows, APIs, and endpoints.
  • Test system resilience to invalid inputs, adversarial samples, and API failures.
  • Ensure fallback mechanisms and graceful error handling are in place.
  • Work closely with ML engineers, data scientists, and product managers to refine testing requirements.
  • Document test cases, test results, and known limitations of models.
Requirements
  • Bachelor's degree in Computer Science, AI, Data Science, or related field.
  • Strong proficiency in Python and experience with testing frameworks (PyTest, unit test).
  • 6 months to 2 years of experience as an AI QA Engineer, ML/AI Tester.
  • Experience with AI frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
  • Strong debugging, analytical, and problem-solving skills.
  • Solid knowledge of SQL and working experience with relational databases (MySQL, PostgreSQL, etc.).
  • Familiar with evaluation matrices for AI modelling techniques.
Why Us

We revolutionize the US restaurant industry by providing a comprehensive and fully integrated solution. Our platform combines patented AI technology with unparalleled customer support to help owners increase revenue, reduce costs, and improve their overall profit margins.

Restaurants can focus on delivering exceptional dining experiences without managing complex systems. We offer an All-In-One super app platform for all their needs.

We aim to become a significant player in the $55 billion restaurant tech SaaS market.

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