Principal Machine Learning Engineer (Prisma AIRS) - NetSec
Core
Lead SLM tuning and advanced data classification strategies using ML, NLP, and deep learning to extract threat patterns from massive datasets for edge-cloud security tasks.
Role type
Principal Machine Learning Engineer (Security)
Builds
Scalable production systems integrating ML solutions for low-latency, highly accurate edge-cloud security tasks.
Domain
Cybersecurity / Machine Learning / NLP
Deliverable
production ML models
Required skills
SLM tuning, advanced data classification, ML/NLP/deep learning, Python, PyTorch/TensorFlow, LLM/SLM fine-tuning, prompt engineering, anomaly detection, auto-classification
Preferred skills
AI safety vulnerabilities (prompt injection defense, red-teaming), DistilBERT, graph-based datasets, distributed cloud systems (GCP/AWS), ML inference pipelines
Technologies
PyTorch, TensorFlow, DistilBERT, GCP, AWS
Responsibilities
Lead SLM tuning initiatives for low-latency, highly accurate edge-cloud security tasks; Drive advanced data classification strategies using ML, NLP, and deep learning; Extract complex threat patterns from massive structured and unstructured datasets; Partner with product, security, and cloud engineering teams as a technical leader; Integrate machine learning solutions seamlessly into scalable production systems
Seniority
Principal, hands-on IC with strategy & mentorship
