Design and implement comprehensive test strategies for systems incorporating predictive or adaptive logic.
Develop and maintain automated test frameworks and tools to support CI/CD pipelines.
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 and shift-left testing.
Stay current with emerging technologies and testing approaches, especially those relevant to AI/ML systems.
Provide technical direction and problem-solving support across engineering teams.
Plan and execute strategic continuous improvement initiatives.
Consult with engineering, operations, and leadership to align quality goals with business objectives.

Minimum 5+ years of hands-on experience in software engineering or quality engineering.
Proven experience in testing intelligent, data-driven systems.
Strong understanding of model validation, bias detection, and performance benchmarking.
Proficiency in test automation tools and scripting languages (e.g., Python, JavaScript).
Familiarity with AI testing tools and libraries (e.g., TensorFlow Model Analysis, MLflow, PyTest).
Experience with RESTful APIs, microservices, and cloud platforms (AWS, GCP, Azure).
Proficiency with Git, Jira, Jenkins, GitHub Actions, and other CI/CD tools.
Ability to work independently and manage asynchronous workflows across distributed teams.

Senior Quality Engineer

Key skills