
AI Cybersecurity Specialist
4 days ago
We are seeking a seasoned Senior Machine Learning expert to spearhead the development and implementation of large language models (LLMs) for cybersecurity applications.
The ideal candidate will possess a deep understanding of machine learning and cybersecurity threats, including threat intelligence, vulnerabilities, exploits, and configuration analysis.
- Fine-tune and domain adapt open-source LLMs using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques.
- Develop data pipelines for ingesting, cleaning, and structuring cybersecurity data.
- Collaborate with cybersecurity analysts to build taxonomy and structured knowledge representations.
- Design and execute evaluation frameworks for cybersecurity tasks.
- Own the lifecycle of model development, from training to deployment.
- Provide technical leadership and mentorship to ML engineers and researchers.
- Stay current with advances in LLM architectures and cybersecurity datasets.
To be successful in this role, you will need:
- 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, 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, and vector stores like FAISS or Weaviate.
- Demonstrated ability to lead projects and collaborate across interdisciplinary teams.
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