Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts at Ford Motor Company
Requirements
- Experience with the complete software lifecycle
- 1+ years of experience with delivering and maintaining production software products
- 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
- 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
Other
- Bachelor’s degree in computer science, mathematics, statistics, operations research, or related field
- Strong technical writing and oral communication skills
- 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
- Must be able to work in a team environment and present results in a clear and concise manner
