End-to-End Ownership: Drive complex AI and ML initiatives through the full product lifecycle from
Architect & Deploy: Design and build production-ready AI models and system pipelines in Python
LLM Innovation: Integrate state-of-the-art Generative AI and LLM workflows directly into our core
Domain Deep-Dives: Partner closely with domain researchers, data engineers, and product leaders to

🎯 Requirements

LLM Expertise: At least 2 years of hands-on experience with LLMs, including prompt engineering
Solid ML Foundations: Deep algorithmic and theoretical knowledge in Machine Learning, supported by
Production Engineering: 5+ years of software development experience, with strong, production-grade
Cybersecurity Domain: Background in Vulnerability Management, Asset Intelligence, or Threat

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