QA Automation Engineer AI/ML
Q1 Technologies, Inc.
Aurora, IL, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Testing (Software)
Java (Programming Language)
Artificial Intelligence
Automation of Tests
Code Coverage
Computer Programming
Continuous Delivery
Continuous Integration
DevOps
Python (Programming Language)
Network Security
Machine Learning
+6 more
Zero Trust Network Access
Test Case
Test Execution Engine
Data Processing
Delivery Pipeline
Machine Learning Operations
Job description
- 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.
Requirements
- 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.
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