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 integral 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 methodologiesExperience working with CI/CD pipelines and automated testing workflows
**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 testingExperience working in a global/onshore-offshore model
**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.
- **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
- **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

📌 Ai Test Engineer (Naucalpan de Juárez)
🏢 Ford De México
📍 Naucalpan de Juárez