Lead MLOps Engineer to design, build, deploy, and optimize production-grade ML systems. Collaborate with data scientists, develop Python solutions, manage CI/CD and data pipelines, and work with Azure ML, Databricks/MLflow, Terraform, and Kubernetes.

Lead and manage complex wildfire mitigation and utility consulting engagements: develop business and technical strategies, drive delivery and stakeholder engagement, define requirements, evaluate vendors, create project plans, and mentor team members while supporting proposals and client-facing business development.

Support CEO with calendar management, meeting coordination, logistics, expense reporting, and communication. Anticipate needs and manage multiple priorities in a hybrid environment.