Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. Ford needs to advise leadership on business conditions, customer needs and the competitive landscape. The AI Engineer/Data Scientist will drive evidence-based, timely decision making by developing innovative, cloud-native data, AI, and analytics solutions.
Requirements
- 3+ years of experience in AI/ML, with proven experience developing and deploying machine learning models in a production environment.
- 2+ years of experience in Google cloud platform with solutions designed and implemented at production scale
- 2+ Experience working with for scheduling and orchestration of data pipelines
- Expertise in SQL for data querying, manipulation, and database interaction.
- Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
- Experience with containerization (e.g., Docker), constructing REST APIs using frameworks like Flask or FastAPI,, and adherence to best software development practices (e.g., version control, testing).
- Experience in Generative AI, including a strong understanding of ML frameworks, algorithms, and practical implementation.
Responsibilities
- Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Ingest, transform, and analyze large datasets to support the team in launching data products in the Data Factory on Google CloudPlatform (GCP).
- Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, anomaly detection, optimization, LLM, and more.
- Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development.
- Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
- Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences.
Other
- Acquire deep understanding of the business problems and translate them into appropriate business solutions
- Master's degree (M.S.) in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.
- Excellent oral, written, and interpersonal communication skills.
- Candidates for positions with Ford Motor Company must be legally authorized to work in the United States.
- This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
