Defensive Security AI Scientist

Key Highlights

• Education: Master’s degree or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Cybersecurity, or a related highly technical discipline.
• Applied Experience: 8+ years of progressive experience in data science, machine learning, or AI engineering, with a minimum of 3 years directly embedded in cybersecurity, threat intelligence, or vulnerability management.
• Open-Source AI & LLM Mastery: Deep, hands-on expertise with the Hugging Face ecosystem (Transformers, Accelerate, PEFT). Proven track record of deploying, quantizing, and fine-tuning (e.g., LoRA, QLoRA) large open-source models (Llama, Mistral, Qwen) for production environments.
• Cybersecurity Expertise: Comprehensive understanding of the vulnerability lifecycle, patch gap analysis, exploit chaining, and standard industry frameworks (MITRE ATT&CK, CISA KEV, EPSS, CVSS). You must understand how an adversary thinks to build models that stop them.
• Core ML Frameworks: Expert-level coding proficiency in Python and leading deep learning frameworks, specifically PyTorch.