QA Engineer - AI and Data

Job Description

Job Description

Salary : Who We Are

CXAPP is a forward-thinking technology company that leverages AI and data science to drive innovation and deliver cutting-edge solutions. At CXApp, we are the innovators of Indoor Intelligence, delivering actionable insights for people, places and things. Our flagship product CXAI (formerly CXApp) is a workplace experience platform for the enterprise. Our technologies and solutions help enterprise customers deliver a comprehensive business journey in a work from-anywhere world for employees, partners, customers, and visitors.

We take pride in the way we positively impact the daily lives of our customers and continue to push the boundaries of how our platform can benefit others.

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 :

Benefits :

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.