
Machine Learning Security Specialist
2 days ago
About the Role
We are seeking a highly skilled Cybersecurity Engineer to join our team, responsible for identifying and mitigating security vulnerabilities specific to AI models and data. This role requires proficiency in strong cybersecurity practices, Cloud Computing and/or AI Frameworks to address the unique security challenges AI presents.
The ideal candidate will collaborate with clients to implement secure AI and Data architectures, assess risk factors, and provide guidance on best practices for ethical and secure AI deployment. Ideal candidates may come from either a cybersecurity and/or AI background but should have a strong interest in bridging both fields within a consulting setting.
Key Responsibilities:
- Conduct in-depth AI model security assessments, focusing on risks such as model poisoning, prompt injection, and unauthorized access, with an emphasis on protecting data integrity and access control.
- Design automated threat detection systems using AI-driven tools to deliver continuous insights and strengthen cybersecurity models.
- Safeguard intellectual property and AI-generated outputs through secure access layers, content verification methods, and watermarking.
- Perform code security scans and optimize workflows with advanced AI security tools, ensuring compliance with security standards.
- Interface with clients to understand security needs, delivering concise, actionable security recommendations and consulting on AI security frameworks.
- Implement responsible AI frameworks by conducting fairness audits, bias analysis, and explainable AI reviews to align with ethical guidelines.
Essential Skills:
- Education: Bachelor's or Master's degree in Computer Science, Cybersecurity, AI, Data, or a related field.
- Technical Background: Proven experience in cybersecurity and/or AI, with a strong interest in securing AI solutions. Previous experience in AI model development, adversarial testing, and security assessments particularly within AI contexts, cybersecurity analytics is a plus.
- Client-Facing Experience: Strong interpersonal and communication skills, with experience in a consulting or client-facing role. Ability to translate complex technical findings into clear, actionable insights for diverse client audiences.
- Understanding of AI Security Threats: Familiarity with AI-specific vulnerabilities, such as model poisoning, prompt injections, and data obfuscation.
- Monitoring and Observability Skills: Hands-on experience with monitoring and observability platforms (e.g., Splunk, ELK Stack) is beneficial.
- Knowledge of Responsible AI Practices: Experience with explainable AI, fairness audits, and ethical AI practices.
- Analytical Skills: Strong ability to analyze security findings, conduct AI-driven threat assessments, and report insights effectively.
- Programming Skills: Proficiency in Python, with experience in AI/ML frameworks (e.g., TensorFlow, PyTorch) and cybersecurity tools (e.g., Metasploit, Nmap) preferred.
- Cloud Computing: Proficiency with cloud frameworks (AWS, Azure), with a focus on securing machine learning workloads.
Desirable Skills:
- Certifications in security (e.g., CISSP, CEH, Security+) and/or relevant Cloud Computing certifications.
- Understanding and expertise on the EU AI Act.
- Familiarity with zero-trust architectures for AI systems.
Benefits:
- Opportunity to work with diverse clients across multiple industries.
- Competitive salary and performance bonuses.
- Choice of hardware between MacBooks/Windows and iPhones/Android.
- Access to cutting-edge AI security technologies.
- Professional development and continuous learning opportunities.
- Flexible work arrangements.
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