LLM Fine-Tuning Engineer

This role focuses on the full post-training lifecycle for open-weight language models, including dataset design, supervised fine-tuning, parameter-efficient tuning, and deployment support within secure environments. The engineer will collaborate with technical teams to adapt foundation models into reliable, task-specific systems for advanced cybersecurity contexts. The position requires deep expertise in post-training methodologies and data evaluation to ensure model reliability in real operational settings.