Forward-Thinking Cybersecurity Specialist

18 hours ago

Dindigul, Tamil Nadu, India beBeeCybersecurity Full time ₹ 15,12,000 - ₹ 20,16,000

Job Summary:

As a forward-thinking Cybersecurity Analyst, you will be responsible for monitoring and analyzing security incidents to identify root causes and recommend remediation.

You will work with AI-driven cybersecurity models to identify emerging threats and design real-world evaluations of model performance.

Key Responsibilities:

  • Monitor and analyze security alerts from tools and platforms.
  • Identify root causes of security incidents and recommend remediation strategies.
  • Differentiate true positives from false positives to refine detection accuracy.

AI & Threat Modelling:

  • Develop and evaluate cybersecurity models using large language models (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 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:

  • 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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