Diverse Lynx
Posted 3 days agoVerified live 2d ago
QA Automation Engineer – AI/ML
Brief overview
Remote
UndergradOr in progress
3+ yrsMinimum
1 H-1B approvalsDept. of Labor
QA AutomationPythonJavaArtificial Intelligence and Machine LearningZero-Trust SecurityNetwork SecurityAWSCI/CD PipelinesAI/ML Security Risk Mitigation
About the company
Diverse Lynxdiverselynx.com
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions.
Visa sponsorship history
1 year sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.1H-1B approved
100%approval rate
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20251
Job description
Summary
The company is Confidential, and it is seeking a QA Automation Engineer focused on AI/ML. The role develops and maintains automated test suites for secure access products, applies AI/ML techniques to improve testing, and supports security validation, analytics, and AI/ML-powered CI/CD pipelines.
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, Eligible to workimize 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
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
Qualifications
Must Haves
- 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
Benefits
- Remote (San Jose, CA/Hybrid)
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