Senior AI/ML Specialist

Ford • Dearborn, MI

145d

About The Position

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? 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. Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics. We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges. This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

Requirements

• Bachelor's degree in computer science, mathematics, statistics, operations research, or related field
• Experience with the complete software lifecycle
• 1+ years of experience with delivering and maintaining production software products
• Strong technical writing and oral communication skills
• Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps
• Experience in productionizing generative AI to solve critical business problems

Nice To Haves

• Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science
• OR bachelor's degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience
• Experience with cloud-based deployments and best practices
• Demonstrated contributions and expertise in one or more of the following AI domains: Natural Language Processing, Computer Vision, Generative AI, Physics-informed neural networks

Responsibilities

• Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
• Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends
• Apply AI and Machine Learning technology to solve complex, real-world problems
• Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely
• Fulfill problem formulation and ML technique consulting requests in a timely manner
• Communicate and present analytical models to business customers and executive management
• Work collaboratively with different business partners and be able to present results in a clear and concise manner

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Transportation Equipment Manufacturing
• Education Level: Bachelor's degree