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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.
- 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.
Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)
3+ years of experience of analytical methods and their proper application
3+ years of experience using AI/ML, data science software (e.g., Python-based tools)
MUST HAVE experience using Gen AI technologies.
Experience using Cloud Platforms and AI Platforms.
Our Preferred Requirements
Working knowledge of GCP.
Expertise in open-source data science technologies such as Python, R, Spark, SQL.
Conceptual understanding of data pipelines and MLOps
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, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care 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.
This role is on site in Dearborn, MI, you will be required on-site 4x a week.
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance IS provided for this specific role*
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.
GSR7-8
