AI Security Specialist

Are you passionate about securing AI systems and ensuring that cutting-edge technologies are protected against threats? Do you thrive on identifying vulnerabilities in machine learning models, protecting data, and ensuring that AI solutions remain trustworthy and resilient? If you're excited about safeguarding the future of AI, then our client has a critical and exciting opportunity for you. We're looking for an AI Security Specialist (aka The AI Guardian) to develop and implement security measures that protect AI systems, data, and models from adversarial attacks, vulnerabilities, and misuse.

As an AI Security Specialist at our client , you'll play a crucial role in ensuring the safety, privacy, and robustness of AI systems. You'll collaborate with data scientists, engineers, and security teams to develop strategies that safeguard AI models, protect sensitive data, and defend against attacks such as model inversion, poisoning, and adversarial examples.

Key Responsibilities:

1. Secure AI Model Development:
• Work with data scientists and machine learning engineers to ensure that AI models are developed with security in mind. You'll implement security best practices throughout the AI lifecycle, from data collection to model deployment.
2. Adversarial Attack Defense:
• Identify potential adversarial attacks against machine learning models, such as data poisoning, model inversion, and adversarial examples. You'll develop strategies to defend against these attacks, ensuring the robustness and reliability of AI models.
3. Data Privacy and Protection:
• Implement data privacy measures that ensure the secure handling and storage of sensitive data used in AI models. You'll work on techniques like differential privacy, data anonymization, and secure multi-party computation to protect personal and proprietary data.
4. Vulnerability Assessment and Threat Modeling:
• Conduct security assessments of AI systems to identify vulnerabilities, weaknesses, and potential threats. You'll perform threat modeling, penetration testing, and risk assessments to proactively secure AI systems.
5. Model Monitoring and Security Audits:
• Monitor deployed AI models for potential security breaches, unauthorized access, and adversarial attacks. You'll set up security auditing systems to continuously track the integrity of AI systems and detect unusual behavior.
6. Collaboration with Security Teams:
• Work closely with cybersecurity teams to integrate AI security into broader security strategies. You'll ensure that AI models are aligned with the organization's overall security framework, addressing threats specific to machine learning systems.
7. Stay Updated on AI Security Trends:
• Stay informed about the latest trends and advancements in AI security, including new attack vectors, defense mechanisms, and regulatory requirements. You'll experiment with cutting-edge techniques to keep our client at the forefront of AI security.

Requirements

Required Skills:

• AI Security Expertise: Strong understanding of AI-specific security threats and defense mechanisms, including adversarial attacks, model inversion, and data poisoning. You know how to secure machine learning models and data from emerging threats.
• Machine Learning and AI Knowledge: Familiarity with machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn, and an understanding of how to incorporate security best practices into AI model development.
• Cybersecurity Skills: Strong experience with general cybersecurity principles, including encryption, secure access controls, vulnerability assessments, and threat modeling. You have experience with security tools and techniques for defending against cyber threats.
• Data Privacy and Compliance: Expertise in data privacy regulations and practices such as GDPR, HIPAA, and data anonymization. You know how to ensure that sensitive data used in AI systems is handled securely and in compliance with regulations.
• Collaboration and Communication: Excellent communication skills, with the ability to work with cross-functional teams, including data scientists, machine learning engineers, and cybersecurity professionals. You can explain complex security issues to both technical and non-technical stakeholders.

Educational Requirements:

• Bachelor's or Master's degree in Computer Science, Cybersecurity, AI, or a related field. Equivalent experience in AI security or cybersecurity is highly valued.
• Certifications or additional coursework in cybersecurity (e.g., CISSP, CEH, or OSCP) and AI-related certifications are a plus.

Experience Requirements:

• 3+ years of experience in cybersecurity, with a focus on AI security or securing machine learning systems.
• Hands-on experience identifying vulnerabilities and implementing security measures for AI systems in production environments.
• Proven experience working with both AI and security teams to secure machine learning models and protect data from adversarial attacks.

Benefits

• Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
• Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
• Work-Life Balance: Flexible work schedules and telecommuting options.
• Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
• Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
• Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
• Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
• Tuition Reimbursement: Financial assistance for continuing education and professional development.
• Community Engagement: Opportunities to participate in community service and volunteer activities.
• Recognition Programs: Employee recognition programs to celebrate achievements and milestones.