MLOps Deployment Specialist
On-site
We're looking for an experienced MLOps Engineer to support the consolidation and standardization of an enterprise MLOps platform. This role will focus on building secure, scalable model deployment pipelines and enabling machine learning models to be deployed across multiple serving environments. What You'll Do Design and implement automated model deployment pipelines Integrate ML models with Kubeflow, KServe, and other deployment platforms Develop reusable deployment templates, wrappers, and SDK extensions Standardize model serving, monitoring, and health check configurations Troubleshoot de…