Senior Machine Learning Engineer (Security)
Core
Build ML models and data pipelines to transform the Security Operations Center (SOC) from reactive to proactive by detecting anomalies, automating workflows, and reducing alert fatigue.
Role type
Senior Machine Learning Engineer (Security)
Builds
ML-driven threat detection systems, automated SOC workflows, and data pipelines for security telemetry.
Domain
Cybersecurity / Security Operations Center (SOC)
Deliverable
production ML models
Required skills
Python, ML frameworks, Pandas, NumPy, SIEM logs, EDR telemetry, network flow, authentication logs, ML lifecycle, data pipelines, Airflow, Kafka, Redis, Elasticsearch, Clickhouse
Preferred skills
Threat detection, SOC operations, security automation, adversarial ML, graph analytics, behavioral modeling, LLMs, AI engineering, prompt engineering, RAG, agent design
Technologies
Python, Pandas, NumPy, Airflow, Kafka, Redis, Elasticsearch, Clickhouse
Responsibilities
Design and deploy ML models for security detection and anomaly identification; Build and maintain data pipelines for security-relevant data; Develop LLM-powered tools to automate SOC tasks; Prototype and test new ML/AI techniques for threat detection; Deploy models into production with monitoring and retraining mechanisms.
Seniority
Senior, hands-on IC
