Machine Learning Engineer

Job Description

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. The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you will play a pivotal role by serving as Ford’s trusted adviser, providing clear insights into business conditions, customer needs, and the competitive environment. Your work will empower key decision‑makers to act decisively and positively. You will leverage your expertise in data and analytics to contribute to timely, evidence‑based decision‑making across a range of domains including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

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 to present results in a clear and concise manner

Qualifications

Preferred Qualifications

Demonstrated contributions and expertise in one or more of the following AI domains :

Seniority Level

Associate

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Motor Vehicle Manufacturing

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