Architect AI systems: design and deploy RAG pipelines and LLM apps for security logs.
Model development & tuning: train, fine-tune, and evaluate ML/DL models for security data.
Ensure AI trust & alignment: implement guardrails and evaluation frameworks for safe outputs.
Establish MLOps: build scalable ML pipelines from data prep to production with low-latency inferences.

🎯 Requirements

6+ years deploying ML in production; 1+ year on LLMs; cybersecurity exp valued.
AI/NLP stack: Python, PyTorch, TensorFlow, LangChain.
Vector databases: Pinecone, Qdrant, Milvus; semantic search on complex datasets.
Production: API design, Docker/Kubernetes, cloud ML platforms.
Mindset: builder's mentality; set direction, navigate ambiguity, move fast.

🎁 Benefits

Equal opportunity employer; committed to diversity.
Global reach; 100+ countries served.
Applicant Privacy Notice available.

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