Job Details

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.

• 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.

• 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.

• 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.