Zinnov - QA Automation Engineer - AI/ML Applications

7 days ago

Bengaluru, India Zinnov Full time

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) :- 3- 5 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 testingEducation/ 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. (ref:hirist.tech)

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