[Remote] MLOps Engineer at Reality Defender

The MLOps Engineer will architect and manage the core MLOps infrastructure for model training, validation, and high-availability inference serving, develop and own CI/CD/CT pipelines to automate model testing and deployment, implement comprehensive monitoring and alerting for model performance and system health, and collaborate with AI and Engineering teams to streamline workflows and improve efficiency. They will also implement and maintain security best practices throughout the ML lifecycle, partner with security and engineering teams, and contribute to the integration of ML models into existing tech stacks.