Security Operations Center Analyst
16 hours ago
Job Description: Cyber Security SOC Analyst (AI/LLM Threat Modelling)
Position: SOC Analyst – AI/LLM Cybersecurity Threat Modelling
Location: Remote
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 Modeling
- 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, labeling, and threat detection.
- Document findings, processes, and evaluation metrics.
- Data & Evaluation
- Perform data labeling 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.
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