Machine Learning Security Engineer (m/w/d)

Machine Learning Reply; Berlin; Vor Ort; EUR 55.000 - 90.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen Machine Learning Security Engineer, um Sicherheitsanforderungen für KI-Modelle zu adressieren. In dieser spannenden Rolle werden Sie Sicherheitsbewertungen durchführen, automatisierte Systeme zur Bedrohungserkennung entwickeln und mit Kunden zusammenarbeiten, um sichere AI-Architekturen zu implementieren. Sie werden die Möglichkeit haben, an der Schnittstelle von Cybersicherheit und KI zu arbeiten und Ihr Fachwissen in einem dynamischen Beratungsteam einzubringen. Wenn Sie leidenschaftlich an der Sicherheit von KI interessiert sind und praktische Lösungen entwickeln möchten, ist diese Position genau das Richtige für Sie.

Leistungen

Möglichkeit, mit vielfältigen Kunden zu arbeiten

Wettbewerbsfähiges Gehalt und Leistungsboni

Wahl der Hardware (MacBooks/Windows und iPhones/Android)

Zugang zu modernsten KI-Sicherheitstechnologien

Möglichkeiten zur beruflichen Weiterbildung und kontinuierlichem Lernen

Qualifikationen

• Erfahrung in Cybersicherheit und/oder KI mit starkem Interesse an der Sicherung von KI-Lösungen.
• Starke Kommunikationsfähigkeiten in einem beratenden Umfeld.

Aufgaben

• Durchführung von Sicherheitsbewertungen von KI-Modellen zur Risikominderung.
• Entwicklung automatisierter Bedrohungserkennungssysteme mit KI-Tools.

Kenntnisse

Cybersecurity

Cloud Computing

AI Frameworks

Analytical Skills

Programming Skills (Python)

Client-Facing Experience

Monitoring and Observability Skills

Ausbildung

Bachelor's degree in Computer Science

Master's degree in Cybersecurity

Master's degree in AI

Master's degree in Data

Tools

TensorFlow

PyTorch

Metasploit

Nmap

Splunk

ELK Stack

AWS

Azure

Jobbeschreibung

Machine Learning Security Engineer (m/w/d), Berlin

Location:

Berlin, Germany

Job Category:

Information Technology

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EU work permit required:

Yes

Job Reference:

g7ru5d9s-94663

Job Views:

1

Posted:

19.04.2025

Expiry Date:

03.06.2025

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 a Machine Learning 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 strong 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 acybersecurity 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.
• 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.

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, 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.

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 the hardware between MacBooks/Windows and iPhones/Android.
• Access to cutting-edge AI security technologies.
• Professional development and continuous learning opportunities.

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Created on 19/04/2025 by Machine Learning Reply