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7 days ago
We are seeking a seasoned leader to spearhead our machine learning efforts and drive innovation in the field of cybersecurity.
This role requires a strong background in machine learning, with a focus on Large Language Models (LLMs) like LLaMA 3. The ideal candidate will bring experience in fine-tuning and domain adaptation using frameworks such as vLLM, HuggingFace, and DeepSpeed.
Main Responsibilities:- Fine-tune and domain adapt open-source LLMs for various cybersecurity tasks.
- Develop data pipelines to ingest, clean, and structure cybersecurity data, including threat intelligence reports and configuration files.
- Collaborate with cybersecurity analysts to build taxonomy and structured knowledge representations.
- Design and execute evaluation frameworks for cybersecurity tasks like classification, summarization, and anomaly detection.
- Own the lifecycle of model development, from training to deployment.
- Provide technical leadership and mentorship to a team of ML engineers and researchers.
- 5+ years of experience in machine learning, with at least 2 years focused on LLM training or fine-tuning.
- Strong experience with vLLM, HuggingFace Transformers, LoRA/QLoRA, and distributed training techniques.
- Proficiency in Python, ML libraries (PyTorch, Transformers), and MLOps practices.
- Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores like FAISS or Weaviate.
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