Description

You will ensure the quality and performance of machine learning models and systems through rigorous testing and validation.

Responsibilities

• Develop and implement test strategies for machine learning models and pipelines.
• Design and execute test cases focused on model performance, accuracy, and reliability.
• Identify, report, and track defects within ML models and automated pipelines.
• Perform exploratory testing and analyze model outputs to detect anomalies.
• Collaborate with ML scientists and product teams to align on model requirements.

Required Skills

• 3+ years of experience as a QA/ML Engineer or in a similar role.
• Strong programming proficiency in Python.
• Experience with automation frameworks.
• Familiarity with version control systems like Git.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Practical experience deploying machine learning models in cloud environments.
• Background working within a SaaS environment.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

Key Skills

Education

Bachelor’s or Master’s degree