Key skills
PythonROpen-source securityOpen-source license complianceFOSSA toolDockerLinuxHigh Performance Computing (HPC)Google Cloud Platform (GCP)Artificial IntelligenceMachine LearningGitGitHubMicrosoft ExcelMicrosoft PowerPointSCCMJFrogHarborContainer repositoriesAIMLAnalyticsGCPTerraformVersion ControlRepositoryCommunication
About this role
Ford Motor Company is shaping the future of mobility by redefining the transportation landscape. The Predictive Analytics Engineer will manage and engineer Python and R open-source clients and packages while developing and maintaining automated analytics services and operational improvements.
Responsibilities:
- Engineer, scan, and test Python and R open-source client tools and packages for the Gold Repository
- Utilize Python, Docker and Infrastructure as Code (such as Terraform) to design, automate, and manage scalable infrastructure
- Design and develop AI agents to automate vulnerability scanning, open-source license compliance, and evaluation of emerging AI tools for engineering and data science
- Design and develop AI agents to automate fault detection, advisory management, and incident response time across the analytics portfolio
- Ensure secure and reliable cloud operations while leveraging Cloud Monitoring and Logging to optimize performance, manage costs, and resolve incidents
- Work with Analytics Service teams to bring successful Proof of Concepts into production
Requirements:
- BS in Computer science or Engineering
- In-depth knowledge of Python and R engineering, open-source security, and license requirements
- Experienced with the FOSSA tool and working with the OGC team to resolve security and compliance issues
- Build and deploy Docker images for Linux, HPC and GCP platforms
- Expertise in AI and ML to automate engineering processes
- Working knowledge of version control tools like Git and GitHub
- Excellent MS Excel and MS PowerPoint skills
- Client installation package automation and deployment with SCCM
- Repository management with JFrog, Harbor, and other container repositories
- This position will require a highly motivated individual to meet Analytics Service technical requirements
- Experience planning, organizing, and managing multiple large projects
- Ability to adapt and adjust plans to support rapidly changing business needs and regulatory requirements
- Ability to develop and maintain strong relationships to support work with cross-functional teams
- Ability to write procedures and manuals used by Analytics Service teams
- Strong communication skills - comfortable presenting to all levels of management