AI and Data Quality Assurance Specialist
2 months ago
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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