AI Cybersecurity Leader

2 days ago

Tiruppur, Tamil Nadu, India beBeeCybersecurity Full time ₹ 20,00,000 - ₹ 40,00,000

Job Summary

We seek an experienced AI/ML leader to spearhead the development and implementation of models that process and generate insights across a wide range of cybersecurity content.

The ideal candidate will have a strong background in machine learning and a practical understanding of the cybersecurity domain, especially around threat intelligence, vulnerabilities, exploits, and configuration analysis.

Key Responsibilities:

  • Lead the fine-tuning and domain adaptation of open-source Large Language Models (LLMs) using frameworks such as vLLM, HuggingFace, DeepSpeed, and PEFT techniques.
  • Develop data pipelines to ingest, clean, and structure cybersecurity data, including threat intelligence reports, CVEs, exploits, malware analysis, and configuration files.
  • Collaborate with cybersecurity analysts to build taxonomy and structured knowledge representations to embed into LLMs.
  • Drive the design and execution of evaluation frameworks specific to cybersecurity tasks (e.g., classification, summarization, anomaly detection).
  • Own the lifecycle of model development, including training, inference optimization, testing, and deployment.
  • Provide technical leadership and mentorship to a team of ML engineers and researchers.
  • Stay current with advances in LLM architectures, cybersecurity datasets, and AI-based threat detection.

Requirements

  • 5+ years of experience in machine learning, with at least 2 years focused on LLM training or fine-tuning.
  • Strong experience with vLLM, HuggingFace Transformers, LoRA/QLoRA, and distributed training techniques.
  • Proven experience working with cybersecurity data—ideally including MITRE ATT&CK, CVE/NVD databases, YARA rules, Snort/Suricata rules, STIX/TAXII, or malware datasets.
  • Proficiency in Python, ML libraries (PyTorch, Transformers), and MLOps practices.
  • Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores like FAISS or Weaviate.

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