At Ford, the business problem is to deliver breakthrough products and services that delight customers by leveraging design thinking, user experience methods, and innovative technologies such as autonomy, electrification, and smart mobility.
Requirements
- 3+ years of experience in data reporting, modeling, visualization, and advanced analytics
- 2+ years of experience developing production full-stack applications (e.g., Python, JavaScript/TypeScript, React, Node.js)
- 1+ year experience designing and implementing data pipelines and MLOps in cloud environments (GCP, AWS, Azure)
- Proficiency in automated reporting tools (e.g., Alteryx, QlikView, Tableau, Power BI)
- Working knowledge of database systems (SQL, NoSQL) and API design (REST/GraphQL)
- Familiarity with cloud-based AI tools (e.g., Vertex AI, SageMaker)
- 5+ years of Python development experience, including advanced data manipulation (Pandas) and ML model development (NLP, PyTorch, TensorFlow)
Responsibilities
- Lead the development, testing, and deployment of comprehensive data reporting and visualization dashboards for critical engineering and business environments
- Design and implement robust, scalable data pipelines and MLOps frameworks in cloud environments to ensure efficient deployment and maintenance of analytical and AI/ML solutions
- Develop data connection points and integration strategies to enhance data reintegration across disciplines like Design Verification and FMA
- Architect, develop, and deploy advanced AI/ML solutions, including Generative AI applications, to solve complex engineering and operational challenges
- Translate vehicle engineering and broader business problems into appropriate mathematical representations and AI/ML solutions
- Develop intuitive front-end user interfaces for seamless interaction with analytical systems and actionable insights
- Root cause data report and dashboard errors, collaborating with users and IT to implement sustainable solutions
Other
- Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field
- Ability to collaborate effectively with technical and business stakeholders in ambiguous environments
- Strong analytical, problem-solving, and communication skills, translating complex problems into data-driven solutions
- Visa sponsorship is NOT available for this position
- Candidates for positions with Ford Motor Company must be legally authorized to work in the United States
