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
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.
- 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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