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QA Automation Engineer AI/ML

Q1 Technologies, Inc

  • San Jose, CA
  • 4 days ago
  • Remote

    Highlights

    Roles & Responsibilities: Develop and maintain automated test suites for secure access products using AI/ML techniques to improve test coverage and efficiency. Participate in the design and implementation of AI/ML-powered DevOps pipelines to enable autonomous testing and continuous integration/continuous deployment (CI/CD).
    Q1 Technologies, Inc

    Numbers & Facts

    LocationSan Jose, CA (
    Remote
    )
    IndustryComputer/IT Services
    Company Size500 to 999 employees
    Year Founded1990
    Websitehttp://q1tech.com/

    Description

    Position : QA Automation Engineer with AI/ML
    Location : Remote
    Duration : Fulltime

    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.

    About Company

    Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.

    Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.

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