AI Engineer

This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do.

As the AI Engineer, you should have a strong technical background and demonstrated experience in Data Science , MLOps and AI/ML Engineering. You will be responsible for the delivery of analytical, machine learning and AI solutions. Successful candidates should demonstrate business acumen, knowledge of data, and AI solutions to support key products within team that focus on improving customer experience, increasing revenue, and improving efficiency across the business.

Responsibilities

Summary:

We are seeking a highly motivated and skilled AI/ML Engineer to contribute to cutting-edge research and development within our team.

This role offers a unique opportunity to work on challenging projects, collaborate with experienced researchers, and gain practical experience in the application of AI/ML techniques to real-world problems. The successful candidate will be involved in all stages of the machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. A strong theoretical foundation and hands-on coding experience are essential.

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?

* 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 work within an agile development model working closely with a product manager and other 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 work within an agile development model working closely with a product manager and other engineers.