AI/ML Security Engineer (Remote)

Xcede Recruitment Solutions; Berlin; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading recruitment agency is seeking an experienced AI/ML Security Engineer for a 9-month contract in Berlin. The role involves developing machine learning models for threat detection and collaborating with various teams to enhance cybersecurity measures. Ideal candidates will have a strong background in cybersecurity and proficiency in Python, along with relevant educational qualifications.

Qualifikationen

• 3+ years of experience in cybersecurity or ML/AI engineering.
• Proficiency in Python and machine learning frameworks.
• Strong understanding of security frameworks like MITRE ATT&CK.

Aufgaben

• Design and implement ML models for threat detection.
• Collaborate with teams to integrate AI into cybersecurity processes.
• Conduct model validation and optimize for low false-positive rates.

Kenntnisse

Python

Anomaly Detection

NLP Techniques

Machine Learning

Data Science

Ausbildung

Bachelor's or Master's degree in Computer Science

Cybersecurity or related field

Tools

TensorFlow

Pytorch

Splunk

CrowdStrike

AWS

Azure

Jobbeschreibung

Currently my biggest client in Berlin is looking for an AI Secutity Engineer to join their team on 9 months initial contract.
The role requires fluency in German and English

About the Role

We are seeking an experienced and passionate AI/ML Security Engineer to join our Cyber Defense team. In this role, you will design, develop, and maintain machine learning-powered threat detection systems, enhancing our ability to identify and respond to advanced cyber threats across cloud, endpoint, and network environments.
You’ll work cross-functionally with data scientists, threat analysts, and engineers to integrate AI into the heart of our detection and response pipeline.

Key Responsibilities

• Design and implement ML-based models to detect anomalies, advanced persistent threats (APTs), and malicious behavior.
• Integrate AI/ML models into existing SIEM/SOAR and EDR platforms.
• Collaborate with threat intelligence teams to translate TTPs (MITRE ATT&CK) into algorithmic detection logic.
• Optimize behavioral analytics models for real-time inference and low false-positive rates.
• Conduct model validation, retraining, and drift analysis.
• Develop tools and dashboards for visualizing threats and ML performance metrics.
• Contribute to incident response and forensic investigations with data-driven insights.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, or related field.
• 3+ years of experience in cybersecurity or ML/AI engineering.
• Proficiency in Python (Pandas, Scikit-learn, TensorFlow, or PyTorch).
• Strong understanding of security frameworks (e.g. MITRE ATT&CK, Kill Chain, NIST).
• Experience with SIEM (e.g. Splunk, Sentinel), EDR (e.g. CrowdStrike, Carbon Black), and SOAR tools.
• Knowledge of anomaly detection, supervised/unsupervised learning, and NLP techniques.
• Familiarity with cloud environments (AWS, Azure, GCP) and their security services.