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Axelon Services Corporation
AI Quality EngineerAxelon Services Corporation • Irving, TX
AI Quality Engineer

AI Quality Engineer

Axelon Services Corporation • Irving, TX
1 day ago
Job type
  • Full-time
  • Quick Apply
Job description

Summary:

  • Work Mode: Not specified

Responsibilities:

  • Design and develop overall quality assurance plans, procedures, and standards specifically tailored for AI/Machine Learning models and systems, including Generative AI solutions and autonomous AI agents.
  • Create detailed test strategies and test plans to evaluate the robustness, functionality, performance, and ethical behavior of AI agents and models.
  • Develop, implement, and execute a wide range of test cases to validate AI model outputs, decision-making processes, and overall system behavior.
  • Verify AI agent robustness against various inputs, edge cases, and unexpected scenarios.
  • Design and conduct tests to measure AI model inference speed, resource utilization, and scalability.
  • Contribute to ensuring data quality for training and validation, and work with data scientists to design tests for identifying and mitigating model bias and fairness issues.
  • Develop and maintain automated testing frameworks and scripts for AI/ML pipelines, model validation, and system integration.
  • Identify, document, track, and prioritize defects and inconsistencies in AI model behavior and system functionality.
  • Define key quality metrics and provide regular status updates and quality reports to stakeholders.
  • Collaborate effectively with data scientists, machine learning engineers, software developers, product managers, and business stakeholders.
  • Stay abreast of the latest advancements in AI testing methodologies, tools, and best practices.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Quality Assurance, or a related technical field.
  • Minimum 3 years of experience in Quality Assurance or Software Testing, with at least 1-2 years focused on AI/Machine Learning systems.
  • Strong understanding of AI/ML concepts, including supervised, unsupervised, and reinforcement learning.
  • Experience in designing and developing test strategies, test plans, and test cases for complex software systems involving AI components.
  • Proficiency in at least one programming language (Python strongly preferred) for test automation and data analysis.
  • Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and relevant testing libraries.
  • Experience with various testing methodologies and tools.
  • Excellent analytical skills and attention to detail.
  • Strong communication and collaboration skills.
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AI Quality Engineer • Irving, TX

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