QA Automation Engineer with AI/ML
$100k - $140kFull-time
SFE
Section
Details
Job Title
QA Automation Engineer with AI/ML
Job Type
Full Time
Client Location
Remote
Work Arrangement
Remote
Duration
Full Time
Pay Rate / Salary
$100-$140k/yr.
Job Summary
- Experienced QA Automation Engineer with AI/ML expertise responsible for designing, developing, and executing automated testing strategies to ensure the quality, reliability, performance, and security of software applications.
- Proficient in Python, Java, and automation frameworks, with practical knowledge of applying Artificial Intelligence and Machine Learning techniques to enhance test automation, defect prediction, test coverage, and quality engineering processes.
- Experienced in AWS DevOps tools, CI/CD pipeline integration, and AI/ML-enabled testing solutions.
- Knowledgeable in secure access technologies, zero-trust security models, network security principles, and identifying and mitigating security risks associated with AI/ML workloads.
- Strong analytical, troubleshooting, and problem-solving skills, with the ability to collaborate effectively with cross-functional teams in fast-paced Agile environments to deliver secure, scalable, and high-quality software solutions.
Key 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 analyse 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.
Required Qualifications
- 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.
Vacancy posted 1 day ago
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