AI/ML Expert
AI/ML Expert
Posted on :
10-06-2025
Employer Active
1 Vacancy
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Job Description
Description
Responsibilities
Qualifications
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).
Employment Type
Full-Time
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