AI/ML Expert

3 weeks ago

Chennai, Tamil Nadu, India Ford Motor Company Full time
Job Description

Job Description

This specialist combines expertise in cybersecurity and AI/ML to design, implement, and maintain security frameworks, ensuring the integrity, confidentiality, and compliance of AI-driven solutions throughout their lifecycle. This also involves collaboration with cross-functional, stakeholders and AI Engineers to build and deploy enterprise-wide AI security framework.

Responsibilities

- 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 Googles 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.

Qualifications

- Technical Skills:
- 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.
- Experience:
- Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field.
- 5+ years in AI/ML roles, including hands-on model development and deployment.
- Track record of delivering AI solutions that drive business value.

- Certifications:

- Relevant certifications such as CAISF, AICERTs, AI for Cybersecurity Specialization or equivalent.
- GCP Cloud certification or equivalent in AWS or Azure (preferred).
- Cybersecurity certificates (preferred).

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