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CGI · 9 hours ago

Artificial Intelligence QA Tester

Dallas, TX

Full-time

Onsite

Mid, Senior Level

$62K/yr - $151K/yr

6+ years exp

CGI is a leading IT and business consulting services firm, currently seeking a QA Tester with strong testing expertise and domain knowledge in telecom support. The role involves ensuring quality assurance for AI/ML models and working on chatbot/IVR applications, while contributing to the mission of delivering reliable technology solutions.

AnalyticsApplication Performance ManagementBusiness IntelligenceConsultingCyber SecurityFinanceInformation TechnologyTechnical Support

H1B Sponsor Likely

Hiring Manager

Tom Marks

Responsibilities

Conduct Integration/System/End-to-End testing on critical applications and worked on Testing AI/ML models

Extensive experience working on chatbot/IVR applications, including validation of NLP/NLU models, conversational flows, and fallback handling

Strong background in web-based applications with a focus on GUI/UX testing, including accessibility and responsive design validation

Hands-on experience with web services (SOAP, REST, and Microservices)

Proficient in tools like Postman and SoapUI for API testing and automation

Skilled in writing clear, concise, and comprehensive test cases, including edge cases for AI-driven features

Familiar with AWS services used in AI/ML pipelines such as S3, Lambda, and SageMaker

Experience in API Testing and Automation, including validation of AI model endpoints and inference accuracy

Domain knowledge of Broadband and Wireless technology

Deep understanding of QA methodologies and the software development lifecycle, including AI model lifecycle testing

Experience working in Agile/Scrum development environments

Hands-on experience with Test Management Tools like Jira, including integration with AI model tracking tools

Strong problem-solving and analytical skills demonstrated by the ability to assimilate new information, understand complex topics, and arrive at sound analysis and judgment

Excellent written, verbal, and interpersonal communication skills

Ability to work independently and collaboratively in cross-functional teams

Experience in testing AI/ML models for accuracy, bias, and performance

Familiarity with model validation techniques such as confusion matrix, precision/recall, and A/B testing

Exposure to testing AI pipelines including data ingestion, preprocessing, training, and deployment

Knowledge of ethical AI testing practices and compliance standards

Experience with automation frameworks such as Selenium and RestAssured

Exposure to Continuous Integration pipelines for AI model deployment and testing

Qualification

AI/ML testingTelecommunications experienceAPI TestingAutomationWeb services SOAPWeb services RESTNLP/NLU validationTest Management ToolsAgile/Scrum experienceAWS services S3AWS services LambdaProblem-solving skillsCommunication skills

Required

Minimum 6+ years of relevant work experience conducting Integration/System/End-to-End testing on critical applications and worked on Testing AI/ML models

Must Have Telecommunications Experience