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.