QA Engineer - AI and Data

CXApp, Inc

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • Experience as a QA Engineer focused on AI and data testing.
  • Strong understanding of AI concepts and machine learning models.
  • Proficient in testing methodologies and automated tools.
  • Knowledge of data management and validation practices.
  • Experience with performance testing tools.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.
  • Commitment to keeping up with AI testing advancements.

Responsibilities

  • Develop test plans for AI applications, including machine learning models.
  • Manage test data preparation and validation processes.
  • Apply various testing methodologies for AI components.
  • Create and maintain automated test scripts for continuous testing.
  • Collaborate to validate AI models against industry benchmarks.
  • Conduct performance tests for scalability of AI systems.
  • Ensure data privacy and security in AI applications.
  • Maintain detailed documentation of testing processes.

Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and retirement plans.
  • Opportunities for professional development and growth.
  • Dynamic and collaborative work environment.
  • Chance to work on cutting-edge AI projects.
Full Job Description
Job Description:

As a QA Engineer specializing in AI and Data at CXAPP, you will play a pivotal role in verifying and validating our AI applications and data-driven solutions. You will be responsible for designing and executing test strategies, managing test data, and utilizing testing methodologies to ensure the quality and performance of our AI systems.

Key Responsibilities:
  1. AI Testing: Develop test plans and test cases specifically designed for AI applications, including machine learning models and data-driven processes.
  2. Data Management: Manage test data, including data collection, preparation, and validation, to ensure data quality and relevance for testing.
  3. Testing Methodologies: Apply a variety of testing methodologies, including unit testing, integration testing, regression testing, and end-to-end testing, to validate AI components and systems.
  4. Test Automation: Create and maintain automated test scripts and frameworks for AI and data-driven solutions, enabling continuous testing and integration.
  5. AI Model Validation: Collaborate with data scientists and AI developers to validate AI models against benchmarks and industry standards.
  6. Performance Testing: Conduct performance testing to evaluate the scalability and responsiveness of AI systems.
  7. Data Privacy and Security Testing: Ensure data privacy and security measures are tested and validated in AI applications.
  8. Documentation: Maintain comprehensive documentation of test cases, test plans, and test reports.


Qualifications:
  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • Proven experience as a QA Engineer with a focus on AI and data testing.
  • Strong understanding of AI concepts, algorithms, and machine learning models.
  • Proficiency in testing methodologies and test automation tools.
  • Knowledge of data management, data validation, and data privacy.
  • Experience with performance testing tools.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Commitment to staying updated with AI advancements and testing best practices.


Benefits:

  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and retirement plans.
  • Opportunities for professional development and growth.
  • A dynamic and collaborative work environment.
  • The chance to work on cutting-edge AI projects with a talented team.


Join our team of talented engineers and make a significant impact by developing cutting-edge software solutions that empower businesses to harness the power of analytics and AI. Apply now and be part of our exciting journey towards innovation and digital transformation.

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