Principal Machine Learning Engineer (Prisma AIRS)
Core
Design, build, and deploy high-performance infrastructure and autonomous ML solutions to classify threats, tune models, and prevent adversarial attacks at enterprise scale for cloud security.
Role type
Principal Machine Learning Engineer (Infrastructure & AI Safety)
Builds
Scalable anomaly detection pipelines, SLM tuning systems, and distributed ML inference pipelines for cloud security.
Domain
Cybersecurity, Cloud Infrastructure, AI/ML Systems
Deliverable
production ML models
Required skills
Python, PyTorch/TensorFlow, LLM/SLM fine-tuning, Anomaly detection, NLP/Deep learning, Adversarial AI defense, Distributed cloud systems (AWS/GCP)
Preferred skills
DistilBERT, Graph-based datasets processing
Responsibilities
Develop scalable anomaly detection pipelines for cloud environments; Lead SLM tuning for low-latency edge-cloud tasks; Drive advanced data classification strategies using ML/NLP/Deep Learning; Partner with product and security teams to integrate ML solutions into production.
Seniority
Principal, hands-on IC & technical leadership
