
Cybersecurity Model Development Lead
3 days ago
A pioneering role awaits an exceptional leader to spearhead the development and implementation of sophisticated models that decipher, process, and generate profound insights across a broad spectrum of cybersecurity content.
Key Responsibilities:- Refine and adapt open-source Large Language Models (LLMs) using frameworks such as vLLM, HuggingFace, DeepSpeed, and PEFT techniques to enhance their performance and effectiveness.
- Design and implement data pipelines to ingest, clean, and structure cybersecurity data, encompassing threat intelligence reports, CVEs, exploits, malware analysis, and configuration files, ensuring seamless integration and efficient processing.
- Collaborate with cybersecurity analysts to build taxonomy and structured knowledge representations to embed into LLMs, facilitating improved understanding and decision-making.
- Drive the creation and execution of evaluation frameworks tailored to cybersecurity tasks such as classification, summarization, and anomaly detection, guaranteeing accurate and reliable results.
- Assume ownership of the model development lifecycle, including training, inference optimization, testing, and deployment, ensuring smooth operation and optimal performance.
- Provide technical leadership and mentorship to a team of ML engineers and researchers, guiding them in their professional growth and development.
Nice to Have
- Deploy models via vLLM in production environments utilizing FastAPI or similar APIs, ensuring seamless integration and scalability.
- Possess knowledge of cloud-based ML training (AWS/GCP/Azure) and GPU infrastructure, enabling efficient and effective model deployment.
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