QA Engineer (Data AI)

OP is partnering with a globally renowned leader in media entertainment and consumer experiences to hire a detail-oriented and technically skilled QA Engineer Data & AI. Focused on delivering innovative digital systems that power large-scale content user experiences and consumer products their enterprise technology team plays a critical role in ensuring quality and reliability across complex platforms.

Operating at the intersection of software engineering and data-driven systems this role involves architecting designing testing automating and monitoring applications that support adaptive algorithms and intelligent systems. With a strong focus on validating model integrity and system behavior under dynamic conditions this position is ideal for professionals who thrive in complex fast-evolving environments.

• Design and implement comprehensive test strategies for systems incorporating predictive or adaptive logic.
• Develop and maintain automated test frameworks and tools to support continuous integration and delivery.
• Collaborate with developers product managers and data specialists to embed quality from ideation through deployment.
• Conduct exploratory testing and risk analysis for complex data-intensive systems.
• Monitor and report on quality metrics identifying trends and areas for improvement.
• Advocate for best practices in software quality engineering including test-driven development shift-left testing and validation of non-deterministic behaviours.
• Stay current with emerging technologies and testing approaches especially those relevant to intelligent or learning-based systems.

• Bachelors degree in Computer Science Engineering or a related field-or equivalent experience.
• Minimum 2 years of hands-on experience as an engineer.
• Proven experience in software quality engineering particularly with systems that evolve based on data or user interaction.
• Strong understanding of model validation data integrity and performance benchmarking.
• Proficiency in test automation tools and scripting languages (e.g. Python JavaScript).
• Familiarity with testing frameworks and libraries used in data-driven or statistical computing environments.
• Experience with cloud platforms (AWS GCP Azure) and CI/CD pipelines.
• Ability to analyse complex systems and identify potential failure points or unintended behaviours.
• Excellent communication and collaboration skills with a proactive and detail-oriented mindset.

• Masters degree in Computer Science Engineering or a related field.
• Experience with AI testing tools and libraries (e.g. TensorFlow Model Analysis MLflow PyTest).
• Knowledge of service standards and technologies including RESTful APIs and microservices.
• Experience with tools such as Git Jira Jenkins GitHub Actions.
• Familiarity with test metrics reporting and continuous improvement practices.
• Understanding of Agile methodologies and risk management strategies.

• Bachelors degree required; Masters preferred.
• Equivalent professional experience may be considered.

• Technical Problem Solving.
• Test Automation & Framework Design.
• Data-Driven Quality Analysis.
• Cross-Functional Collaboration.
• Agile Delivery & CI/CD Integration.
• Communication & Stakeholder Engagement.
• Continuous Improvement & Innovation.

• This role operates with moderate independence and technical responsibility. You will:
  • Work closely with the Manager of Quality Engineering and cross-functional peers to align on priorities and deliverables.
  • Manage your workload independently contribute to planning and execution and proactively seek feedback and support when needed.
  • Have key milestones such as test strategy proposals and automation updates reviewed to ensure alignment with team goals and technical standards.