AI/ML QA Engineer for GCP Healthcare Validation

Acute Talent; Ciudad de México; On-site; MXN 600,000 - 1,000,000; Full time

Job summary

Acute Talent in Mexico City is seeking a QA Engineer specialized in AI and Google Cloud Platform to validate AI models, test ML pipelines, and ensure quality of applications deployed on GCP.

You will design and execute test plans for AI/ML components, perform functional and performance testing of healthcare software, develop automated tests for cloud-based services and APIs, and collaborate with data scientists and cloud engineers to resolve defects.

Responsibilities

• Design and execute test plans for AI/ML models and data pipelines hosted on GCP.
• Perform functional, regression, and performance testing for healthcare software applications.
• Develop automated testing scripts for cloud-based infrastructure and APIs.
• Validate the accuracy, bias, and performance of AI algorithms using healthcare datasets.
• Work closely with data scientists and cloud engineers to identify and resolve defects.

Job description

Acute Talent in Mexico City is seeking a QA Engineer specialized in AI and Google Cloud Platform to validate AI models, test ML pipelines, and ensure quality of applications deployed on GCP.

You will design and execute test plans for AI/ML components, perform functional and performance testing of healthcare software, develop automated tests for cloud-based services and APIs, and collaborate with data scientists and cloud engineers to resolve defects.