Ford Pro is a new global business within Ford committed to commercial customer productivity. Ford Pro delivers a work-ready suite of vehicles, accessories, and services for virtually every vocation, backed by technology and engineered for uptime. A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification.

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 Pro Tech that focus on improving customer experience, increasing revenue, and improving efficiency across the business.

You will be working within a mixed skill team to deliver products for Ford Pro. The candidate will be able to develop healthy relationships and trust with product managers, business stakeholders and peers across Ford Pro-Tech.  

You'll have... 

Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) OR a combination of education and experience 3+ years of experience of analytical methods and their proper application  Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Excellent communication and documentation skills. Proficiency in programming languages such as Python for data manipulation, analysis, and model development. Demonstrate problem-solving skills, analytical thinking, and the ability to communicate complex technical concepts effectively. 3+ years of experience using AI/ML, data science software (e.g., Python-based tools)  Strong theoretical understanding of machine learning algorithms and techniques. Proven hands-on experience in developing and implementing AI/ML models using Python. Proficiency in using relevant libraries such as TensorFlow, PyTorch, scikit-learn, etc. Experience with data preprocessing, feature engineering, and model evaluation. Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch. Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment. Experience using Cloud Platforms and AI Platforms.  Specific experience with cloud computing platforms like AWS, Google Cloud, or Azure Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.

Even better, you may have...

Currently enrolled in a graduate program in Computer Science, Electrical Engineering, or a related field (is a plus +) Working knowledge of GCP. Experience with version control systems like GitHub for managing code repositories and collaboration. Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production. Experience in Software Engineering practices and be able to translate those practices into the AI Engineering world (is a plus +). Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently (Tekton and Terraform is a plus +). Expertise in open-source data science technologies such as Python, R, Spark, SQL. Conceptual understanding of data pipelines and MLOps Experience using Gen AI technologies. Experience with Gen AI (is a plus +)

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage

• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

• Vehicle discount program for employees and family members and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time. 

For a detailed look at our benefits, click here: https://fordcareers.co/GSR-HTHD

This position is a range of salary grades 6-8.

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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What you'll do...

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.

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., TensorFlow, 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.