Qa Engineer - Ai/Gcp

Acute Talent; Xico; On-site; MXN 600,000 - 900,000; Full time

Job summary

Acute Talent is seeking a QA Engineer specialized in Artificial Intelligence and Google Cloud Platform (GCP) to join our healthcare technology team. You will validate AI models, test ML pipelines, and ensure the quality and reliability of applications deployed on GCP.

The role emphasizes collaboration with data scientists and cloud engineers to identify and resolve defects. Strong experience in Python, SQL, and API testing tools is required, with a focus on bias, accuracy, and performance of AI

Qualifications

• Experience in QA for AI/ML and data-heavy apps.
• Hands-on testing of AI/ML models and data pipelines.
• Proficiency with GCP services (BigQuery, Vertex AI).
• Knowledge of Python, SQL, and API testing tools.

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.
• Collaborate with data scientists and cloud engineers to identify and resolve defects.

Skills

Quality Assurance

Test Automation

AI/ML testing

GCP testing

Python

SQL

API testing

Postman

REST Assured

BigQuery

Tools

Postman

REST Assured

BigQuery

Job description

We are looking for a QA Engineer specialized in Artificial Intelligence and Google Cloud Platform (GCP) environments to join our healthcare technology team. You will be responsible for validating AI models, testing machine learning pipelines, and ensuring the quality and reliability of applications deployed on GCP.

Key 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.

Requirements

• Solid background in Software Quality Assurance and test automation.
• Experience testing AI/ML models and working with data-heavy applications.
• Hands-on experience with Google Cloud Platform (GCP) services (BigQuery, Vertex AI, etc.).
• Knowledge of Python, SQL, and API testing tools (Postman, REST Assured).
• Familiarity with healthcare data standards is a strong plus.