Description

You will ensure the reliability, performance, and accuracy of AI and machine learning systems throughout the development lifecycle.

Responsibilities

• Develop and maintain automated tests for AI/ML models, covering data validation, model performance, and integration testing.
• Implement and manage CI/CD pipelines specifically for AI/ML model training, testing, and deployment.
• Apply quality assurance principles to model training and evaluation stages.
• Monitor and validate model performance and accuracy during the lifecycle.

Required Skills

• 5+ years of experience in quality engineering or automation.
• Hands-on experience with AI/ML development lifecycles.
• Proficiency in implementing CI/CD pipelines for machine learning models.
• Experience with data validation and model performance testing.
• Ability to automate testing for model training and evaluation processes.
• Bachelor's degree or equivalent graduate education.

Key Skills

Education

Any Gradute