Minimum 6+ years of relevant work experience conducting 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.
AI Testing
. 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.
Good to have:
. Experience with automation frameworks such as Selenium and RestAssured.
. Exposure to Continuous Integration pipelines for AI model deployment and testing.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $61,900.00 - $150,800.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation including profit participation program
. Comprehensive medical, dental, and vision benefits
. Basic life and accidental death & dismemberment insurance
. Matching contributions through 401(k) plan, and CGI share purchase plan
. Flexibility and paid accrued vacation leave, ranging from 10 to 20 days per year, based on job level, years of relevant prior experience, and years of service
. 10 paid holidays per year
. At least 80 consecutive hours of paid sick/safe leave (except where applicable state/local law requires more)
. Paid parental leave, ranging from 20 to 70 consecutive business days based on circumstances of leave and applicable laws
. Bereavement leave, ranging from 1 to 7 days per year based on relationship.
. Paid jury duty leave, up to time summoned
. Learning opportunities and tuition assistance
. Wellness and Well-being programs
For more detailed information about our benefits offerings visit Benefits | CGI Careers
Please note that the benefits listed above are subject to change based on the specific terms and conditions of the contract being supported.
CGI Federal anticipates accepting applications for this position through 2025-10-27.
