Security Operations Center Analyst
2 days ago
Job Description: Cyber Security SOC Analyst (AI/LLM Threat Modelling)
Position: SOC Analyst – AI/LLM Cybersecurity Threat Modelling
Location: (Remote)
Schedule: PST
About the Role
We are seeking a forward-thinking Cyber Security SOC Analyst with expertise in security operations and a passion for applying large language models (LLMs) to real-world threat detection. This role blends traditional SOC responsibilities with research and development in AI-driven cybersecurity workflows. The ideal candidate has a strong foundation in incident response and threat triage while being able to experiment with and evaluate advanced machine learning models to enhance detection capabilities.
Key Responsibilities:
SOC Operations
- Monitor, triage, and investigate alerts from security tools and platforms.
- Identify root causes of security incidents and recommend remediation.
- Differentiate true positives from false positives to refine detection accuracy.
AI & Threat Modelling:
- Build and evaluate cybersecurity models leveraging LLMs to identify emerging threats.
- Design and run real-world evaluations of model performance, including adversarial scenarios.
- Research and recommend data sources for training and fine-tuning models.
- Develop workflows for data curation, labelling, and threat detection.
- Document findings, processes, and evaluation metrics.
Data & Evaluation:
- Perform data labelling for supervised evaluations and model improvement.
- Establish metrics for reducing false positives and improving precision/recall.
- Collaborate with security engineers, researchers, and data scientists to operationalize AI-driven SOC workflows.
Qualifications:
Required:
- 5+ years of experience in a SOC analyst, incident response, or related cybersecurity role.
- Strong knowledge of alert triage, root cause analysis, and incident handling.
- Familiarity with security tools (SIEM, EDR, IDS/IPS, etc.).
- Experience or strong interest in AI/ML applications in cybersecurity.
- Ability to work independently in part-time PST shifts (every two days).
Preferred:
- Hands-on experience with LLMs (e.g., fine-tuning, prompt engineering, or evaluation).
- Familiarity with Python and data manipulation libraries.
- Background in threat intelligence, malware analysis, or adversarial testing.
- Understanding of data curation, annotation, and evaluation methods.
Why Join Us?
- Be part of an innovative team pioneering AI-driven SOC workflows.
- Apply cutting-edge LLM research directly to real-world cyber defence.
- Flexible scheduling aligned with PST hours.
- Opportunity to shape the future of AI in cybersecurity operations.
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