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Urgent! AI QA Engineer Job Opening In Alpharetta Georgia – Now Hiring Ova Technologies



Job description

About the Role

We are looking for a highly skilled AI QA Engineer to join our team and ensure the quality, reliability, and performance of AI/ML-driven applications.

The ideal candidate will have a strong background in software testing, a solid understanding of AI/ML workflows, and experience with automated testing frameworks.

This role will focus on validating AI models, testing data pipelines, and ensuring the overall robustness of intelligent systems before deployment.



Key Responsibilities



  • Design, develop, and execute test plans and test cases for AI/ML-based products.




  • Validate AI models for accuracy, fairness, robustness, and performance.




  • Test data pipelines, feature engineering processes, and model integration with production systems.




  • Develop automated test scripts for model APIs, training pipelines, and inference workflows.




  • Collaborate with data scientists, ML engineers, and software developers to identify and resolve quality issues.




  • Implement monitoring and alerting mechanisms for deployed AI systems.




  • Conduct regression testing to ensure changes do not degrade model performance.




  • Ensure compliance with data privacy, security, and responsible AI standards.





Required Qualifications



  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.




  • 3+ years of experience in software quality assurance, with at least 1 year in AI/ML testing.




  • Strong knowledge of QA methodologies, tools, and processes.




  • Hands-on experience with automated testing frameworks (e.g., PyTest, Selenium, Robot Framework).




  • Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).




  • Experience testing RESTful APIs and microservices.




  • Proficiency in Python (preferred), Java, or other programming languages.




  • Strong problem-solving skills and attention to detail.





Preferred Qualifications



  • Experience with ML model validation, monitoring, and drift detection.




  • Knowledge of MLOps tools (MLflow, Kubeflow, Airflow, CI/CD for ML).




  • Understanding of bias, fairness, and explainability in AI systems.




  • Exposure to cloud platforms (AWS, GCP, Azure) for AI/ML deployment.




  • ISTQB or equivalent certification in QA.





What We Offer



  • Competitive salary and benefits package.




  • Opportunity to work on cutting-edge AI products.




  • Collaborative, innovative, and growth-focused work environment.




  • Professional development and learning opportunities.





Required Skill Profession

Other General



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