AI Engineer

Ford • Dearborn, MI

1d • Hybrid

About The Position

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.
Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.
AI Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the anticipated worksite. Hence, the employee must live within a reasonable commuting distance from the anticipated worksite. Responsible for the delivery of analytical, machine learning and AI solutions. Demonstrate business acumen, knowledge of data, and AI solutions to support key products within GDIA SSDA that focus on improving customer experience, increasing revenue, and improving efficiency across the business. Help construct the CI/CD pipelines of GDIA SSDA AI to include standard MLOps practices. Work within a mixed skill team to deliver products for GDIA SSDA. Develop healthy relationships and trust with product managers, business stakeholders and peers across GDIA SSDA. Contribute to cutting-edge research and development within our team. Work on challenging projects, collaborate with experienced researchers, and gain practical experience in the application of AI/ML techniques to real-world problems. Participate in all stages of the machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment.

Requirements

• Master’s degree or foreign equivalent in Computer Science, Electrical Engineering or a related field and 3 years of experience in the job offered or a related occupation.
• 2 years of experience with Python coding for development of backend API deployments, AI/ML models or MLOps technologies.
• 2 years of experience with Developing AI/ML products with a Python backend for production grade projects.
• 1 year of experience with Understanding and deployment experience with a large variety of AI/ML technologies.
• 1 year of experience with Creating and maintaining the MLOps infrastructure for production grade python backends.
• 1 year of experience with Utilizing Tekton for infrastructure requirements.

Responsibilities

• Delivery of analytical, machine learning and AI solutions
• Demonstrate business acumen, knowledge of data, and AI solutions to support key products within GDIA SSDA that focus on improving customer experience, increasing revenue, and improving efficiency across the business
• Help construct the CI/CD pipelines of GDIA SSDA AI to include standard MLOps practices
• Work within a mixed skill team to deliver products for GDIA SSDA
• Develop healthy relationships and trust with product managers, business stakeholders and peers across GDIA SSDA
• Contribute to cutting-edge research and development within our team
• Work on challenging projects, collaborate with experienced researchers, and gain practical experience in the application of AI/ML techniques to real-world problems
• Participate in all stages of the machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees