AI and Data Quality Assurance Specialist

2 months ago


San Ramon, California, United States CXApp US, Inc. Full time
Job Description

About Us

CXApp US, Inc. is a forward-thinking technology company that leverages artificial intelligence to transform industries, drive innovation, and deliver cutting-edge solutions.

Job Summary

We are seeking a highly skilled AI and Data Quality Assurance Specialist to join our team. As a key member of our QA team, you will play a pivotal role in verifying and validating our AI applications and data-driven solutions.

Key Responsibilities

  • AI Testing: Develop test plans and test cases specifically designed for AI applications, including machine learning models and data-driven processes.
  • Data Management: Manage test data, including data collection, preparation, and validation, to ensure data quality and relevance for testing.
  • 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.
  • Test Automation: Create and maintain automated test scripts and frameworks for AI and data-driven solutions, enabling continuous testing and integration.
  • AI Model Validation: Collaborate with data scientists and AI developers to validate AI models against benchmarks and industry standards.
  • Performance Testing: Conduct performance testing to evaluate the scalability and responsiveness of AI systems.
  • Data Privacy and Security Testing: Ensure data privacy and security measures are tested and validated in AI applications.
  • 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.
  • Understanding different data structures (e.g., lists, dictionaries) and algorithms (e.g., sorting, searching) is crucial for efficient data manipulation and analysis.
  • Knowledge of frameworks like OpenDQ or Trifacta helps ensure data validation adheres to established standards and best practices.
  • Familiarity with tools like Postman, SoapUI, or API platform-specific SDKs is vital for interacting with APIs and automating tests.
  • Understanding database systems and querying languages (e.g., SQL) allows validation routines to access and compare data against defined rules.
  • 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.


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