AI Engineer

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves, and build a better world - together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs, and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytics skills to drive evidence-based, timely decision making.

We are seeking an experienced individual to drive critical development activities within FCSD, focusing on hands-on solution design, model development, and deployment. As an AI Engineer, you should have a strong technical background and demonstrate experience in Data Science, MLOps, and AI/ML Engineering. This role involves implementing analytical and machine learning solutions that ensure robustness, scalability, and compliance while following software engineering best practices.

Responsibilities include the end-to-end development of AI products and services, from concept to production, working within mixed-skill teams and in close partnership with Product Managers and business stakeholders. By leveraging technical expertise and business acumen, you will deliver impactful AI solutions that improve customer experience, increase revenue, and drive business efficiency at scale.

The AI Engineer is a key technical role focused on the implementation of Ford's AI strategy within FCSD. This position will be instrumental in the technical execution of our FCSD AI Big Bets, delivering advanced solutions across the machine learning spectrum, including Generative AI, Agentic AI, and predictive modeling. This individual will execute the full machine learning lifecycle, from data ingestion and feature engineering to model deployment, to ensure the delivery of scalable and high-quality products.

A strong theoretical foundation and hands-on coding experience are essential.

* Design, develop, and implement AI/ML models and algorithms to solve complex problems

* Perform data preprocessing, cleaning, and feature engineering to prepare data for model training

* Train, evaluate, and tune various machine learning models

* Develop and maintain robust and efficient code using Python and relevant libraries (e.g., Tensor Flow, PyTorch, scikit-learn)

* Document code, experiments, and results clearly and concisely

* Collaborate effectively with other engineers within the team

* Ability to thrive in an agile development environment, collaborating closely with product managers and cross-functional engineers

* Design, develop, and implement AI/ML models and algorithms to solve complex problems

* Perform data preprocessing, cleaning, and feature engineering to prepare data for model training

* Train, evaluate, and tune various machine learning models

* Develop and maintain robust and efficient code using Python and relevant libraries (e.g., Tensor Flow, PyTorch, scikit-learn)

* Document code, experiments, and results clearly and concisely

* Collaborate effectively with other engineers within the team

* Ability to thrive in an agile development environment, collaborating closely with product managers and cross-functional engineers