Description

You will own the quality assurance strategy for machine learning models and their deployment pipelines.

Responsibilities

• Develop and implement test strategies for ML models and systems.
• Design and execute test cases to evaluate model performance, accuracy, and reliability.
• Identify, report, and track defects within ML models and pipelines.
• Collaborate with data scientists and engineers to validate model requirements and functionality.
• Perform exploratory testing and analyze outputs to detect anomalies.

Required Skills

• 5+ years of experience in QA, ML engineering, or a similar role.
• Strong programming skills in Python.
• Experience with Automation Testing and Manual Testing.
• Practical knowledge of Machine Learning and Data Science principles.
• Experience with AWS or other cloud platforms for deploying ML models.
• Proficiency with version control systems like Git.
• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science