QA Automation Engineer with AI/ML

Job Description Job Description Must Have Technical/Functional Skills
Experience in QA automation with strong programming skills in languages such as Python, Java, or similar. Knowledge of AI/ML concepts and practical experience applying AI/ML techniques in software testing
or quality assurance. Familiarity with secure access technologies, zero-trust security models, and network security principles. Experience with AWS DevOps tools and CI/CD pipelines, preferably with AI/ML integration. Understanding of security risks related to AI/ML workloads and mitigation strategies.

Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a fast-paced, cross-functional team environment. Roles & Responsibilities
Develop and maintain automated test suites for secure access products using AI/ML techniques to improve
test coverage and efficiency. Utilize AI/ML models to identify test case redundancies, optimize test execution, and predict potential failure points
to reduce error rates in production. Collaborate with cross-functional teams to automate policy creation, testing, and troubleshooting of
secure access features.

Implement AI-driven analytics to detect advanced security threats and validate security controls within the
secure access environment. Participate in the design and implementation of AI/ML-powered DevOps pipelines to enable autonomous
testing and continuous integration/continuous deployment (CI/CD). Ensure compliance with security standards and best practices in AI/ML model usage and data handling. Monitor and analyze test results, providing actionable insights to improve product quality and security posture.

Stay current with emerging AI/ML technologies and security trends relevant to secure access solutions.