Teams at PlayStation

Owns delivery roadmaps for production AI/ML systems from concept through deployment and monitoring. The role coordinates applied science, engineering, product, analytics, vendors, and distributed teams; translates model goals into milestones; manages dependencies, risks, tradeoffs, agile execution, system health, and remediation while communicating with technical and executive stakeholders.

Leads quality engineering for machine learning products by designing scalable automated test frameworks, validating model behavior and statistical signals, and testing APIs, microservices, databases, performance, scalability, and reliability. Partners with ML, software engineering, product, and operations teams to improve test coverage, CI/CD quality gates, release validation, and production readiness. Investigates failures, model anomalies, and defects while establishing maintainable automation best practices.

Develop and execute software testing strategies, plans, and test cases across platforms and devices. Build and maintain automated testing scripts and frameworks, track defects, monitor automation jobs, report quality status, and support CI test pipelines. The role collaborates with infrastructure, engineering, product, and project teams to improve coverage, stability, and release decisions.