AI-Driven Cybersecurity Specialist

2 days ago

Mysore, Karnataka, India beBeeCybersecurity Full time ₹ 15,00,000 - ₹ 25,00,000
">Cyber Security SOC Analyst - AI/LLM Threat Modelling

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:

  • 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.

Requirements:

  • 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 shifts.

Preferred Skills:

  • 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.

Benefits:

  • Participate in 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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