Auf einen Blick
- Aufgaben: Join our team as an AI Security Engineer, tackling unique security challenges in AI and data.
- Arbeitgeber: Machine Learning Reply specializes in cybersecurity and AI consulting, making AI safer for businesses.
- Mitarbeitervorteile: Enjoy competitive pay, performance bonuses, and the latest tech tools like MacBooks and iPhones.
- Warum dieser Job: Be part of a mission to secure AI systems while working with diverse clients and cutting-edge technologies.
- Gewünschte Qualifikationen: Bachelor’s or Master’s in Computer Science, Cybersecurity, or related fields; experience in AI or cybersecurity preferred.
- Andere Informationen: Remote work opportunity available; EU work permit required.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
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AI Security Engineer (m/w/d), Germany-Remote
Location:
Germany (Remote)
Job Category:
Information Technology
EU work permit required:
Yes
Job Reference:
3agsprok-94651
Job Views:
2
Posted:
06.03.2025
Expiry Date:
20.04.2025
Job Description:
Company Overview:
At Machine Learning Reply, we provide cutting-edge consulting services at the intersection of cybersecurity and AI. Our team of experts helps businesses protect their AI-driven systems, data pipelines, and cloud infrastructures from evolving security threats. We are passionate about making AI safer, more ethical, and more resilient for companies across industries. As we continue to expand, we’re looking for a skilled AI Security Engineer to join our consulting team and deliver cybersecurity solutions to our clients.
About the Role:
We are searching for an AI Security Engineer (Consultant) to join our consulting team, responsible for identifying and mitigating security vulnerabilities specific to AI models and data. This role requires proficiency in cybersecurity practices, Cloud Computing , and/or AI Frameworks to address the unique security challenges AI presents. You 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.
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.
- Implement responsible AI frameworks by conducting fairness audits, bias analysis, and explainable AI reviews to align with ethical guidelines.
- Design automated threat detection systems using AI-driven tools to deliver continuous insights and strengthen security 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.
Requirements:
- 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 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.
Preferred Qualifications:
- 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.
Perks and 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.
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AI Security Engineer (m/w/d) Arbeitgeber: Machine Learning Reply
Kontaktperson:
Machine Learning Reply HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: AI Security Engineer (m/w/d)
✨Tip Number 1
Familiarize yourself with the latest AI security threats and vulnerabilities. Understanding issues like model poisoning and prompt injection will not only help you in interviews but also demonstrate your commitment to the field.
✨Tip Number 2
Showcase your experience with cloud computing platforms, especially AWS and Azure. Highlight any projects where you've secured machine learning workloads, as this is a key requirement for the role.
✨Tip Number 3
Prepare to discuss your client-facing experience. Be ready to share examples of how you've translated complex technical findings into actionable insights for clients, as strong communication skills are essential for this position.
✨Tip Number 4
Stay updated on responsible AI practices and ethical guidelines. Being knowledgeable about fairness audits and explainable AI will set you apart and align with the company's mission to make AI safer and more ethical.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: AI Security Engineer (m/w/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the AI Security Engineer position. Understand the specific responsibilities and requirements, especially the focus on cybersecurity practices and AI frameworks.
Tailor Your CV: Customize your CV to highlight relevant experience in cybersecurity and AI. Emphasize any client-facing roles and your ability to communicate complex technical concepts clearly.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for AI security and your understanding of the unique challenges it presents. Mention specific experiences that align with the responsibilities listed in the job description.
Highlight Relevant Skills: In your application, make sure to highlight your programming skills, particularly in Python, and any experience with AI/ML frameworks and cloud computing. Mention certifications if you have them, as they can strengthen your application.
Wie du dich auf ein Vorstellungsgespräch bei Machine Learning Reply vorbereitest
✨Understand AI Security Threats
Make sure to familiarize yourself with specific AI vulnerabilities like model poisoning and prompt injections. Being able to discuss these threats in detail will show your expertise and understanding of the role.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in programming languages, especially Python, and your experience with AI/ML frameworks. Highlight any relevant projects or experiences that showcase your technical capabilities.
✨Communicate Clearly
Since this role involves client interaction, practice translating complex technical concepts into simple, actionable insights. This will help you convey your ideas effectively during the interview.
✨Discuss Ethical AI Practices
Be ready to talk about responsible AI frameworks and ethical guidelines. Sharing your thoughts on fairness audits and explainable AI will reflect your commitment to making AI safer and more ethical.