3 publicaciones de empleo destacadas de python en edo. de méxico (¡Están contratando!)

AI Test Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Azure
- DevOps
- Java
5h
AI Test Engineer
Ford Motor Company —Naucalpan, Méx.
- Azure
- DevOps
- Java
6h
Ejecutivo de IT & Sistemas
Virtualent —Naucalpan, Méx.
- Tiempo completo
- Azure
- Ingeniería
- Inglés

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AI Test Engineer
Ford de México —Naucalpan, Méx.
In this role, you will work closely with software engineers and product teams to validate applications, test data pipelines, and build scalable automation…
5h
AI Test Engineer
Ford Motor Company —Naucalpan, Méx.
In this role, you will work closely with software engineers and product teams to validate applications, test data pipelines, and build scalable automation…
6h

Quiero recibir la alerta de empleo más reciente para python en edo. de méxico

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AI Test Engineer

Ford de México -
Naucalpan, Méx.

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Información del empleo

Tiempo completo
Hace 5 horas

Cualificaciones

Azure
DevOps
Selenium
Google Cloud Platform
Java
JavaScript
Pruebas de software
GraphQL
Jenkins
Python

Descripción completa del empleo

Ford Motor Credit Company is continuously evolving and innovating, committed to delivering smarter, more connected financial solutions that support Ford customers and dealers across the globe.

Ford Credit operates as a global financial services provider, supporting vehicle financing, leasing, and mobility solutions across multiple international markets. As part of Ford’s Enterprise Technology organization, our teams are focused on building scalable, data-driven platforms to enable intelligent decision-making and world-class customer experiences.

We are investing in advanced technologies, including AI/ML, to modernize our systems, improve operational efficiency, and unlock new capabilities across the business.

Required Qualifications

5+ years of experience in software testing (manual and automation)
Strong programming experience in Python (preferred) or Java
Hands-on experience with test automation frameworks (Selenium, Playwright, PyTest, etc.)
Experience testing APIs using tools such as Postman or REST Assured
Strong understanding of SDLC, STLC, and Agile methodologies

Preferred Qualifications (Bonus Points)

Experience with cloud platforms (GCP, AWS, or Azure)
Knowledge of data engineering or ETL testing concepts
Experience with performance or load testing

DISCLAIMER

Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.

You will play a critical role in ensuring the quality, reliability, and performance of Web applications and AI-driven applications supporting Ford Credit’s U.S. operations. In this role, you will work closely with software engineers and product teams to validate applications, test data pipelines, and build scalable automation frameworks.

Team Structure: This position is part of a globally distributed team.
Location: Based in Mexico, supporting U.S.-based stakeholders.

What You will Do:

AI/ML Testing & Validation: Design and execute test strategies to validate machine learning models, including model outputs, accuracy, and performance across various datasets
Test Automation Engineering: Build and maintain automated test frameworks for APIs, data pipelines, and AI-driven applications using tools such as Python, PyTest, Selenium, or Playwright
Data & Pipeline Validation: Validate data integrity across ingestion, transformation, and model input/output layers
Integration & API Testing: Perform end-to-end testing of microservices and APIs (REST/GraphQL), ensuring reliability and scalability
CI/CD & Continuous Testing: Integrate automated testing into CI/CD pipelines using tools such as Jenkins, Azure DevOps, or GitHub Actions
Defect Management & Debugging: Identify, document, and track defects, collaborating closely with engineering teams to resolve issues quickly
AI Quality & Risk Assessment: Contribute to testing practices around model bias, fairness, and performance monitoring
Cross-Functional Collaboration: Work closely with U.S.-based engineering and product teams to align on requirements, timelines, and delivery expectations

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