Ford Motor Company

AI/ML Expert

Ford Motor Company

full-time

Posted on:

Location Type: Hybrid

Location: Dearborn • Missouri • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

CloudCyber SecurityGoogle Cloud PlatformPython

About the role

  • Design and maintain structured guidelines and controls to secure AI systems, covering data protection, model security, and compliance requirements.
  • Evaluate and utilize established frameworks such as Google’s Secure AI Framework (SAIF), NIST AI Risk Management Framework, or the Framework for AI Cybersecurity Practices (FAICP) as references or baselines.
  • Identify, assess, and mitigate security risks specific to AI, including adversarial attacks, data poisoning, model inversion, and unauthorized access.
  • Conduct regular vulnerability assessments and penetration testing on AI models and data pipelines.
  • Ensure data used in AI systems is encrypted, anonymized, and securely stored.
  • Implement robust access controls (e.g., RBAC, ABAC, Zero Trust) for sensitive AI data and models
  • Protect AI models from tampering, theft, or adversarial manipulation during training and deployment.
  • Monitor and log AI system activity for anomalies or security incidents
  • Develop and enforce policies to ensure AI systems adhere to industry regulations, ethical standards, and organizational governance requirements.
  • Promote transparency, explainability, and fairness in AI models.
  • Establish real-time monitoring and advanced threat detection for AI systems.
  • Develop and maintain an AI incident response plan for prompt mitigation and recovery.
  • Educate teams on AI security best practices and foster a security-aware culture.
  • Collaborate with IT, data science, compliance, and business units to align AI security with organizational goals.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
  • 3+ years experience in AI/ML roles, including hands-on model development and deployment.
  • Track record of delivering AI solutions that drive business value.
  • Strong understanding of AI/ML concepts, architectures, and security challenges.
  • Strong programming skills in Python, R, or similar languages.
  • Strong experience in Google Cloud Platform (GCP) or equivalent.
  • Solid understanding of machine learning algorithms, neural networks, NLP, and computer vision.
  • Experience with cloud AI/ML services and deployment pipelines is a plus.
  • Experience with security frameworks (e.g., SAIF, NIST, FAICP) and regulatory compliance.
  • Proficiency in data protection techniques, encryption, and secure access management.
  • Familiarity with adversarial machine learning, model hardening, and input sanitization.
  • Knowledge of incident response, monitoring tools, and threat intelligence platforms.
  • Excellent communication and documentation skills for policy development and stakeholder engagement.
Benefits
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off and the option to purchase additional vacation time

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonRAI/ML model developmentdata protection techniquesencryptionsecure access managementadversarial machine learningmodel hardeninginput sanitizationcloud AI/ML services
Soft skills
communicationdocumentationpolicy developmentstakeholder engagementteam educationsecurity awarenesscollaboration
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