MLOps Engineer

Job Description

Paxton Consultants is seeking an MLOps Engineer to automate the training, deployment, and monitoring of machine learning models at scale. You will bridge data science and engineering so that models reach production quickly and stay healthy. Key Responsibilities • Build automated pipelines for training, validation, packaging, and deployment of models • Manage experiment tracking and model registries with tools such as MLflow or Kubeflow • Deploy and scale model serving infrastructure on Kubernetes in AWS, GCP, or Azure • Implement monitoring for data drift, model performance, and system health • Establish CI/CD practices and reproducible environments for ML projects • Collaborate with data scientists and engineers to improve reliability and velocity This is a permanent position. This is a remote position open to candidates across the US.