QA Engineer - AI and Data

<p>Who We Are</p>

<p>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) &nbsp;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.</p>

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<p>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.</p>

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<p>Job Description:</p>

<p>As a QA Engineer specializing in AI and Data at CXAPP, &nbsp;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.</p>

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<p>Key Responsibilities:</p>

<ol>

<li><strong>&nbsp;</strong>AI Testing: Develop test plans and test cases specifically designed for AI applications, including machine learning models and data-driven processes.</li>

<li>Data Management: Manage test data, including data collection, preparation, and validation, to ensure data quality and relevance for testing.</li>

<li>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.</li>

<li>Test Automation: Create and maintain automated test scripts and frameworks for AI and data-driven solutions, enabling continuous testing and integration.</li>

<li>AI Model Validation: Collaborate with data scientists and AI developers to validate AI models against benchmarks and industry standards.</li>

<li>Performance Testing: Conduct performance testing to evaluate the scalability and responsiveness of AI systems.</li>

<li>Data Privacy and Security Testing: Ensure data privacy and security measures are tested and validated in AI applications.</li>

<li>Documentation: Maintain comprehensive documentation of test cases, test plans, and test reports.</li>

</ol>

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<p>Qualifications:</p>

<ul>

<li>Bachelor's degree in Computer Science, Data Science, or a related field.</li>

<li>Proven experience as a QA Engineer with a focus on AI and data testing.</li>

<li>Strong understanding of AI concepts, algorithms, and machine learning models.</li>

<li>Proficiency in testing methodologies and test automation tools.</li>

<li>Knowledge of data management, data validation, and data privacy.</li>

<li>Experience with performance testing tools.</li>

<li>Strong problem-solving and analytical skills.</li>

<li>Excellent communication and collaboration skills.</li>

<li>Commitment to staying updated with AI advancements and testing best practices.</li>

</ul>

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<p>Benefits:<br></p>

<ul>

<li>Competitive salary and performance-based bonuses.</li>

<li>Comprehensive health, dental, and retirement plans.</li>

<li>Opportunities for professional development and growth.</li>

<li>A dynamic and collaborative work environment.</li>

<li>The chance to work on cutting-edge AI projects with a talented team.</li>

</ul>

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<p>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.&nbsp; Apply now and be part of our exciting journey towards innovation and digital transformation.</p>