Principal AI/ML Engineer: Cybersecurity & AIOps (Hybrid)

Ford Pro; Dearborn (MI); Hybrid; USD 132,800 - 250,800; Full time

Benefits offered by this job

Immediate medical, dental, and vision coverage

Tuition assistance

Paid time off for community service

Vehicle discount program

Job summary

Ford Pro in Dearborn, MI, seeks a Principal AI/ML Engineer specializing in advanced AI/ML solutions for cybersecurity and enterprise risk detection. Ideal candidates will possess 12+ years of experience and strong skills in Python and SQL.

This hybrid role demands leadership in AI initiatives across the organization and involves building machine learning models, collaborating across teams, and translating technical results into business insights.

Comprehensive benefits include medical coverage, paid parental leave, and generous holidays.

Qualifications

• 12+ years of experience in software engineering, data science, or AI/ML solution delivery.
• Proven experience in designing, building, and deploying scalable AI/ML solutions.
• Hands-on experience in machine learning model development, evaluation, and deployment.

Responsibilities

• Lead the design, development, and deployment of advanced AI/ML solutions focused on cybersecurity.
• Collaborate with cybersecurity, network engineering, and IAM teams to identify opportunities for AI-driven optimization.
• Architect end-to-end ML pipelines ensuring scalability, reliability, and integration.

Skills

Python

SQL

AI/ML solution delivery

Machine learning model development

Cybersecurity concepts

Data visualization

Agile tools (JIRA)

Cloud platforms (Azure, AWS, GCP)

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

Tools

Power BI

Job description

Ford Pro in Dearborn, MI, seeks a Principal AI/ML Engineer specializing in advanced AI/ML solutions for cybersecurity and enterprise risk detection. Ideal candidates will possess 12+ years of experience and strong skills in Python and SQL.

This hybrid role demands leadership in AI initiatives across the organization and involves building machine learning models, collaborating across teams, and translating technical results into business insights.

Comprehensive benefits include medical coverage, paid parental leave, and generous holidays.