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AI Security Engineer (m/w/d)

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Austria

Offer summary

Qualifications:

Proficient in cybersecurity practices, Experience with Cloud Computing and AI frameworks, Background in cybersecurity or AI preferred, Strong interest in consulting.

Key responsabilities:

Conduct AI model security assessments
Implement responsible AI frameworks
Design automated threat detection systems
Safeguard intellectual property and AI outputs
Interface with clients for security recommendations

Machine Learning Reply GmbH Scaleup https://www.reply.com/machine-learning-reply/de/#

51 - 200 Employees

See more Machine Learning Reply GmbH offers

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 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 an 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.