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AI/ML Security Engineer (Remote)

Location:
Berlin, Germany
Salary:
Competitive
Job Type:
Contract
Date Posted:
4 days ago
Expiry Date:
10/08/2025
Job Ref:
BH-121932
Start Date:
26/06/2025
Contact:
Dimitar Kolev
Contact Email:
dimitar.kolev@xcede.com
Specialism:
AI ResearchInfoSec, GRC & VulnerabilitiesNetwork Security & OperationsGermanyEU Remote
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.

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