Principal Machine Learning Engineer
Core
Provide technical leadership in designing and delivering robust, next-generation cloud security solutions and managing the full machine learning lifecycle.
Role type
Principal Machine Learning Engineer (Cloud Security)
Builds
Scalable cloud security architecture, production ML models, and resilient MLOps pipelines.
Domain
Cybersecurity, Cloud Infrastructure, Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Machine learning lifecycle management, MLOps, cloud-native distributed systems, Infrastructure-as-Code, Python/Go/Java, CI/CD automation
Preferred skills
Cybersecurity domain expertise, containerization and orchestration, real-time data streaming, open-source contributions
Technologies
TensorFlow, PyTorch, Terraform, CloudFormation, AWS, GCP, Azure, Docker, Kubernetes, Kafka, Flink
Responsibilities
Architect and lead the entire ML lifecycle from development to production deployment; Design and implement robust cloud security solutions; Strategically manage and optimize ML infrastructure and pipelines; Establish best practices for model versioning, reproducibility, and compliance; Build automated systems for CI/CD and monitoring of ML components; Collaborate with cross-functional teams to align engineering efforts with business objectives.
Seniority
Principal, hands-on IC with strategic leadership
