
Advanced Model Developer
3 days ago
At a leading technology firm, we are seeking a highly skilled Senior Machine Learning Expert to spearhead the development and implementation of cutting-edge machine learning models.
Key Responsibilities:
- Fine-tune and adapt Large Language Models (LLMs) such as LLaMA 3 using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques.
- Design and execute data pipelines for ingesting, cleaning, and structuring cybersecurity data.
- Collaborate with analysts to build taxonomy and structured knowledge representations for embedding into LLMs.
- Drive the design and execution of evaluation frameworks for cybersecurity tasks such as classification, summarization, and anomaly detection.
- Own the lifecycle of model development including training, inference optimization, testing, and deployment.
- Provide technical leadership and mentorship to a team of ML engineers and researchers.
Required Qualifications:
- 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.
- Proven experience working with cybersecurity data, including MITRE ATT&CK, CVE/NVD databases, YARA rules, Snort/Suricata rules, STIX/TAXII, or malware datasets.
- Proficiency in Python, ML libraries (PyTorch, Transformers), and MLOps practices.
Preferred Skills:
- Experience with cloud-based services such as AWS Sagemaker or Google Cloud AI Platform.
- Knowledge of containerization tools like Docker and Kubernetes.
- Understanding of DevOps principles and practices.
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