AI/ML Security Engineer (Remote)

AI ResearchNetwork Security & OperationsInfoSec, GRC & VulnerabilitiesGermanyEU 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.