The Integral Data Insights and Analytics (GDI&A;) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A; is to drive evidence-based decision making by providing insights from data. Applications for GDI&A; include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.
**Minimum Qualifications**
- English proficiency (written and verbal)
- A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.
- 2+ years of experience with Python and Cloud Engineering / Services such as GCP Vertex AI and related services.
- A solid foundational understanding of Machine Learning concepts and Generative AI (GenAI) technologies, including Large Language Models (LLMs).
- Experience with AI/ML workflow orchestration tools: e.g., Airflow, Kubeflow etc.
- Experience in DevSecOps using tools such as Tekton, SonarQube, Checkmarks etc.Experience with scripting languages (e.g., Bash, PowerShell).
**Desired Skills**
- Masters in computer science / AI, Machine Learning or related field.
- Exposure to AI/ML workflow orchestration tools (e.g., Airflow, Kubeflow) and ML frameworks (Sklearn, TensorFlow, Pytorch).
- Familiarity with CI/CD concepts and tools like GitHub Actions, SonarQube, or Checkmarks.
- Basic knowledge or experience with Terraform.
- Contribute to the development of user interfaces for the ML platform using of React / Dash / Angular or similar frameworks.
- Experience working with container technology, docker files, docker images, GitHub,



CI/CD concepts.Experience with Agile methodologies, Paired Programming, or Test-Driven Development (TDD).
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.
- Work closely with Senior Developers, Tech Anchors, and Product Managers to **help deliver and scale**our AI/MLOps platform on GCP for data scientists across the company.
- Write clean, testable, and maintainable code, **actively participate in code reviews**, and utilize GIT for version control and collaboration.
- **Assist in**the development of autonomous AI agents using frameworks such as LangGraph or ADK (Agentic Design Kit) to automate workflows.
- **Support**the deployment of AI models into production, run simulations for algorithm development, and **collaborate on**the design of intelligent systems.
- Develop and integrate RESTful APIs to connect various systems and services within the ML platform.
- Collaborate with the engineering team to understand the platform vision, break down tasks, and **work together to solve complex**Artificial Intelligence problems.
- Experiment with emerging technologies (NLP, Computer Vision, MLOps, Kubernetes) to **continuously grow your own technical expertise**and share new learnings with the team.
- **Participate in**innovating and standardizing AI/ML development practices within the team.
- **Effectively leverage AI-powered development tools**(such as GitHub Copilot, Cline, or Open Code) to accelerate software delivery while rigorously maintaining high standards for code quality, security, and performance.

📌 Se - Software Engineer (Ciudad de México)
🏢 Ford De México
📍 Ciudad de México