Machine Learning Security Engineer (m/w/d)

TN Austria; Innsbruck; Vor Ort; EUR 50 000 - 90 000; Vollzeit

Zusammenfassung

An established industry player is seeking a Machine Learning Security Engineer to join their consulting team in Innsbruck. This role requires expertise in cybersecurity and AI frameworks, focusing on identifying and mitigating security vulnerabilities in AI models. You will collaborate with diverse clients, implementing secure AI architectures and providing actionable insights on ethical AI deployment. The company offers a dynamic environment where your contributions will help shape the future of AI security. If you are passionate about making AI safer and more resilient, this is the perfect opportunity for you.

Leistungen

Opportunity to work with diverse clients

Competitive salary and performance bonuses

Choice of hardware (MacBooks/Windows, iPhones/Android)

Access to cutting-edge AI security technologies

Professional development and continuous learning opportunities

Qualifikationen

• Proven experience in cybersecurity and/or AI with a strong interest in securing AI solutions.
• Strong interpersonal skills with experience in a consulting role.

Aufgaben

• Conduct in-depth AI model security assessments focusing on risks like model poisoning.
• Design automated threat detection systems using AI-driven tools.

Kenntnisse

Cybersecurity

AI Frameworks

Cloud Computing

Analytical Skills

Programming Skills (Python)

Client-Facing Experience

Monitoring and Observability Skills

Understanding of AI Security Threats

Ausbildung

Bachelor's degree in Computer Science

Master's degree in Cybersecurity

Degree in AI or Data

Tools

Splunk

ELK Stack

TensorFlow

PyTorch

Metasploit

Nmap

AWS

Azure

Jobbeschreibung

Social network you want to login/join with:

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

Location: Innsbruck, Austria

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6acd2b2e30df

Job Views:

4

Posted:

14.03.2025

Expiry Date:

28.04.2025

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 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 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.
• 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.