Ford Motor Company is looking to leverage data, metrics, and analytics to drive innovation in smart mobility, autonomous vehicles, cybersecurity, customer interaction, and product design. The Global Data Insight & Analytics (GDI&A) team aims to provide clear insights into business conditions, customer needs, and the competitive environment to empower decision-makers and foster evidence-based decisions.
Requirements
- 1+ years of experience in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps
- Experience with the complete software lifecycle
- 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 (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale, including development and deployment of LLM-driven AI agents capable of autonomous task execution and tool integration)
- Demonstrated contributions and expertise in one or more of the following AI domains: Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)
- Demonstrated contributions and expertise in one or more of the following AI domains: Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)
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
- Masters in computer science, mathematics, statistics, operations research, or related field OR bachelor’s degree in computer science, mathematics, statistics, operations research, or related field AND 2+ year(s) data-science experience
