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.
Role type
Principal Machine Learning Engineer (Infrastructure & Security)
Builds
Scalable anomaly detection pipelines, SLM tuning systems, and advanced data classification strategies for AI security platforms.
Domain
Cybersecurity, Cloud Security, AI Safety
Deliverable
production ML models
Required skills
Python, PyTorch/TensorFlow, LLM/SLM fine-tuning, anomaly detection, adversarial attack prevention, NLP, deep learning, distributed cloud systems
Preferred skills
Prompt engineering, DistilBERT, graph-based datasets, AI red-teaming
Technologies
GCP, AWS, PyTorch, TensorFlow, DistilBERT
Responsibilities
Develop scalable anomaly detection pipelines for cloud environments; Lead SLM tuning for low-latency edge-cloud security tasks; Drive advanced data classification strategies using ML/NLP/Deep Learning; Partner with product and security teams to integrate ML solutions into production systems.
Seniority
Principal, hands-on IC & technical leadership
