QA Engineer AI and Data
2 weeks ago
About Us: CXAPP is a forward-thinking technology company that leverages AI to transform industries, drive innovation and deliver cutting-edge solutions.
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:
- 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.
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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