Generative AI Engineer

Ford Motor • Dearborn, MI

20h • Hybrid

About The Position

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. 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 analytical skills to drive evidence-based, timely decision making. 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. 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.

Requirements

• 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.

Nice To Haves

• Working knowledge of GCP.
• Expertise in open-source data science technologies such as Python, R, Spark, SQL.
• Conceptual understanding of data pipelines and MLOps

Responsibilities

• 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.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level