Ford Motor Company is a global leader in mobility solutions, seeking a Predictive Analytics Engineer to enhance their analytics capabilities. The role involves managing Python and R tools, developing AI agents for automation, and ensuring secure cloud operations while collaborating with various teams.
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