Your Key Responsibilities:

- Define and own test strategy, planning, execution, and reporting for AI-based systems.

- Conduct AI model validation across functional, performance, and statistical metrics.

- Perform data validation activities including data collection, augmentation, exploratory analysis, bias detection, and privacy assessment.

- Identify discrepancies, anomalies, and risks in model outputs and ensure timely resolution with development teams.

- Lead defect management and collaborate with cross-functional teams for resolution.

- Engage with client stakeholders to provide status updates and resolve issues.

- Prepare test reports and support sign-off and closure activities.

- Lead distributed teams across geographies and ensure delivery excellence.

Skills and attributes for success:

- Strong understanding of AI/ML concepts, LLMs, and Agentic AI systems.

- Hands-on experience in AI testing techniques such as bias testing, drift testing, metamorphic testing, and back-to-back testing.

- Expertise in test automation tools (e.g., Selenium, Playwright, PyTest).

- Proficiency in Python programming and AI evaluation frameworks.

- Exposure to GitHub Copilot or similar AI-assisted development tools.

- Good understanding of cloud platforms such as Azure, AWS, or GCP.

- Strong analytical, problem-solving, and communication skills.

- Experience working in Agile environments.