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23 hours ago
We are seeking a highly skilled leader to spearhead the development and implementation of Large Language Models (LLMs) that understand, process, and generate insights across various cybersecurity content.
Key Responsibilities:- Lead the fine-tuning and domain adaptation of open-source LLMs using frameworks like 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 such as 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.
- 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.
The ideal candidate will have a strong background in machine learning, a practical understanding of the cybersecurity domain, and excellent problem-solving skills. If you have a passion for AI and cybersecurity, we encourage you to apply for this exciting opportunity.
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