Manager

KPMG Delivery Network (KDN) AI Foundry is seeking a skilled and detail-oriented professional to join its dynamic team as an Integration and Functional Tester (AI Models). This role is critical in ensuring that AI models are seamlessly integrated into business applications and workflows, delivering reliable and high-quality functionality across diverse use cases. The ideal candidate will possess a strong understanding of software testing principles, AI model behavior, and system integration practices.

Key responsibilities include:

AI Model Integration Validation

• Ensure AI models are correctly embedded into application workflows/systems.
• Validate input/output data formats and compatibility with application interfaces.
• Collaborate with data scientists to understand model inputs, outputs, and any potential biases or edge cases that need specific testing.
• Collaborate with developers to troubleshoot integration issues.

Functional Testing of AI Features

• Design and execute test cases to verify AI-driven functionalities.
• Validate that AI outputs align with expected business logic and user requirements.
• Perform regression testing to ensure new AI features don’t break existing functionality.

Test Automation and Tooling

• Develop automated test scripts for continuous integration pipelines.
• Utilize tools like Selenium, Postman, or custom scripts to test APIs and UI components.
• Maintain and update test suites as models and applications evolve.

Performance and Reliability Testing

• Assess AI model response times and system performance under load.
• Monitor for latency, throughput, and resource utilization during AI operations.

Documentation and Reporting

• Document test plans, test cases, and test results clearly and comprehensively.
• Provide feedback and reports to development and data science teams.
• Track and manage defects using tools like JIRA or Azure DevOps.

Educational qualifications

• Bachelor’s degree in Business Administration, Engineering, Computer Science, Data Science, Business Analytics, or a related field. A Master’s degree or MBA is a plus.

Work experience

• 3+ years of experience in software testing, with a strong focus on integration and functional testing.
• Solid understanding of software testing methodologies, tools, and processes.
• Proficiency with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Proficiency in using bug tracking and test management tools (e.g., Jira, Azure DevOps).
• Experience with API testing tools (e.g., Postman), SQL for database testing

Skills

• Familiarity with cloud platforms (Azure, AWS, GCP) and their data services.
• Excellent analytical, problem-solving, and communication skills for cross-functional collaboration.
• Ability to document clear, concise, and comprehensive test plans and test cases
• Ability to leverage automated testing frameworks & tools
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment