Senior Machine Learning Engineer (SOC)
Core
Build ML-driven detection and automation for a Security Operations Center (SOC) to transform security workflows from reactive to proactive.
Role type
Senior Machine Learning Engineer (Security Operations)
Builds
ML models for threat detection, data pipelines for security telemetry, and LLM-powered automation tools for SOC analysts.
Domain
Cybersecurity / Security Operations / Machine Learning
Deliverable
production ML models
Required skills
Machine learning engineering, Python, data manipulation (Pandas/NumPy), security data sources (SIEM/EDR), ML lifecycle management, data pipelines (Airflow/Kafka/Clickhouse)
Preferred skills
Threat detection/SOC operations experience, adversarial ML, graph analytics, LLM engineering (RAG/agents)
Technologies
Python, Pandas, NumPy, Airflow, Kafka, Redis, Elasticsearch, Clickhouse
Responsibilities
Design and deploy ML models for anomaly identification and incident response; build and maintain secure data pipelines for security logs; develop LLM tools to automate SOC tasks like alert triage and report generation; monitor and retrain deployed models; prototype new ML techniques for threat detection.
Seniority
Senior, hands-on IC