We are looking for a Senior MLOps Engineer to maintain and scale our TensorFlow and Kubeflow-based machine learning pipeline, enhancing its reliability and efficiency. In this role, you will optimize deployment processes to reduce setup time and boost pipeline scalability to support throughput as we scale. Working directly with ML engineers, software engineers, and infrastructure teams, you will form cross-functional units to automate workflows, monitor model performance, and address real-time issues. Leverage your expert software engineering skills and comprehensive understanding of the machine learning lifecycle to drive the seamless integration and ongoing enhancement of our AI solutions, ensuring robust performance in production environments.