
Cybersecurity Machine Learning Specialist
7 days ago
This position requires a seasoned professional to spearhead the development and implementation of models that comprehend, process, and generate insights across a wide range of cybersecurity content.
- Lead the fine-tuning and domain adaptation of open-source Large Language Models (LLMs) using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques.
- Design 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.
- Develop 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.
Key Skills:
- Leadership in machine learning engineering
- Expertise in large language models and their application in cybersecurity
- Strong understanding of cybersecurity data structures and taxonomy
- Proficiency in deep learning frameworks
- Experience in model development, testing, and deployment
- Ability to collaborate with cross-functional teams
Benefits:
- Opportunity to work on cutting-edge AI projects in cybersecurity
- Chance to lead a team of talented ML engineers and researchers
- Professional growth and development opportunities
Additional Requirements:
- Stay up-to-date with the latest advancements in AI and cybersecurity
- Advocate for ethical AI use and model robustness, especially given the sensitive nature of cybersecurity data
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