Sr Principal ML Engineer (Internet Security))

Senior ML engineer focused on building and deploying ML/LLM-based security solutions, combining data pipelines, model development, and production deployment in a cybersecurity context.

• Design, build, and operate ML systems for URL analysis and security tasks
• End-to-end lifecycle of ML/LLM components from problem formulation to deployment
• Integrate ML services with backend data pipelines and ensure scalability
• Develop automated training/evaluation/retraining pipelines
• Collaborate with product/security teams to translate requirements into robust ML solutions

Hands-on ML stack with PyTorch/TensorFlow/Keras, cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), and MLOps practices; strong NLP/LLM capabilities and prompt engineering.

The ideal candidate is a senior ML engineer with 2+ years delivering ML systems in production, strong experience with LLMs and NLP, and a background in security-focused AI solutions. They excel at building scalable ML services, have hands-on experience with cloud platforms and MLOps, and can operate in a cybersecurity context.