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