QA Automation Engineer AI/ML

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.