
Cybersecurity AI Leader
4 days ago
We are seeking an experienced professional to lead the development and implementation of advanced AI systems for computer and network security. This role requires a strong background in machine learning, data analytics, and cybersecurity domain expertise.
Key Responsibilities:- Oversee the creation and deployment of Large Language Models (LLMs) using cutting-edge frameworks like vLLM, HuggingFace Transformers, and DeepSpeed.
- Develop and manage data pipelines to ingest, clean, and structure cybersecurity data from various sources, including threat intelligence reports, CVEs, exploits, malware analysis, and configuration files.
- Collaborate with cybersecurity analysts to design and implement taxonomy and structured knowledge representations to embed into LLMs.
- Drive the development and execution of evaluation frameworks specific to cybersecurity tasks, such as classification, summarization, and 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 expertise in vLLM, HuggingFace Transformers, LoRA/QLoRA, and distributed training techniques.
- Proven experience working with cybersecurity data, 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.
- Demonstrated ability to lead projects and collaborate across interdisciplinary teams.
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