Machine Learning Threat Intelligence Engineer

Overview

This role is for a Machine Learning Threat Intelligence Engineer with a 12+ month contract. Location is Austin, TX or SCV, CA;
Remote work may be possible. Pay is competitive. Required skills include Python, Jupyter Notebooks, and experience with RAG systems, LLM fine-tuning, and prompt engineering.

• Work with RAG and agentic systems, including end-to-end query-to-response workflows.
• Fine-tune language models, perform tracing, analysis, and debugging.
• Develop LLM evaluators (LLM judges) and apply prompt engineering techniques.
• Collaborate with stakeholders to support threat intelligence initiatives and data-driven decision making.

• Strong proficiency in Python and Jupyter Notebooks.
• Experience with RAG systems, LLM fine-tuning, tracing, analysis, and debugging.
• Ability to create LLM evaluators and expertise in prompt engineering.

• Job Title:
  
  Senior Machine Learning Engineer (LLM Systems)
• Location:
  
  Austin, TX or SCV, CA
• Duration: 12+ month Contract
• Contact for applications:

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