
Zinnov - QA Automation Engineer - AI/ML Applications
1 day ago
Description :
Key Responsibilities :
- Design, build, and maintain automation frameworks to test AI/ML applications, models, and services.
- Automate validation of model predictions, accuracy, and performance using test datasets.
- Develop automated regression and functional tests for data pipelines, APIs, and ML workflows.
- Integrate automation tests with CI/CD pipelines for continuous validation.
- Collaborate with Data Science and Engineering teams to define test strategies, acceptance criteria, and edge cases.
- Implement scalable and reusable automation scripts to improve testing efficiency.
- Ensure data quality validation as part of the automation framework.
- Report defects, track issues, and provide clear documentation of automation coverage and results.
What Youll Need to Be Successful (Required Skills) :
years of QA experience with at least 1+ years in automation for AI/ML applications.
- Strong programming skills in Python, Java, or JavaScript for test automation.
- Experience automating tests for ML workflows, APIs, and data pipelines.
- Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) for model validation.
- Hands-on experience with automation tools/frameworks (e.g., Selenium, PyTest, Robot Framework, Cypress).
- Solid understanding of CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, or similar).
- Knowledge of testing
Education/ Certifications :
- Bachelors degree in computer science, Engineering, or a related field, or equivalent relevant experience.
Preferred Skills :
- Exposure to AI/ML testing challenges such as bias detection, explainability, and performance benchmarking.
- Experience with cloud platforms (AWS, Azure, GCP) for deploying and testing ML models.
- Familiarity with data validation frameworks and synthetic data generation for ML testing.
- Experience with containerization and orchestration tools (Docker, Kubernetes) for test environments.
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