
Senior AI Leader for Cybersecurity Model Development
4 days ago
Are you a seasoned AI leader seeking a new challenge?
We are looking for an experienced expert in Artificial Intelligence to lead our team in developing and implementing Large Language Models (LLMs) for cybersecurity applications.
- Fine-tune and adapt 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.
- Design and execute 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.
- Stay current with advances in LLM architectures, cybersecurity datasets, and AI-based threat detection.
- Advocate for ethical AI use and model robustness, particularly given the sensitive nature of cybersecurity data.
- 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 (Retrieval-Augmented Generation), and vector stores like FAISS or Weaviate.
- Demonstrated ability to lead projects and collaborate across interdisciplinary teams.
- Excellent problem-solving skills and strong written & verbal communication.
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