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AI/ML Software tester


Savazar llc

$200.00 - $300.00 / week
Application deadline closed.

Job Overview

  • Date Posted
    December 29, 2023
  • Offered Salary
    $200.00 - $300.00 / week
  • Expiration date
    June 23, 2024
  • Experience
    2 Year
  • Industry
  • Qualification
  • Career Level
    Manager, Student

Job Description

AI/ML Software Tester

We are seeking an experienced AI/ML Software Tester to join our quality assurance team. The successful candidate will be responsible for testing and validating artificial intelligence and machine learning software applications and models.


  • Design and execute test plans, test cases, and test scripts for AI/ML applications and models
  • Perform functional, non-functional, integration, and regression testing of AI/ML systems
  • Test AI/ML models for accuracy, performance, fairness, robustness, and edge case handling
  • Collaborate with data scientists, ML engineers, and developers to understand AI/ML system requirements
  • Analyze and report on test results, identifying defects, issues, and areas for improvement
  • Develop and maintain automated testing frameworks and tools for AI/ML testing
  • Stay up-to-date with the latest AI/ML testing methodologies, tools, and industry best practices
  • Participate in code reviews and provide feedback on testability and maintainability


  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
  • 2+ years of experience in software testing, preferably with exposure to AI/ML applications
  • Strong understanding of AI/ML concepts, algorithms, and techniques (e.g., supervised/unsupervised learning, neural networks)
  • Familiarity with AI/ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn, etc.)
  • Experience with test automation tools and frameworks (e.g., Selenium, Appium, Pytest)
  • Knowledge of software testing methodologies (e.g., Agile, TDD, BDD)
  • Proficiency in programming languages like Python, Java, or C++
  • Excellent analytical, problem-solving, and critical thinking skills
  • Strong communication and collaboration abilities

Preferred Qualifications:

  • Experience with specific AI/ML use cases (e.g., natural language processing, computer vision, predictive analytics)
  • Knowledge of data quality assurance and data validation techniques
  • Familiarity with cloud computing platforms and containerization technologies
  • Relevant certifications (e.g., ISTQB, CSTE, AWS Certified Machine Learning Specialty)

The AI/ML Software Tester plays a crucial role in ensuring the quality, reliability, and robustness of AI/ML applications and models. The ideal candidate should have a strong technical background in software testing, coupled with a deep understanding of AI/ML concepts and techniques, to effectively validate and test AI/ML systems.