MLOps Engineer
TeamPlus
Years of Experience: 5+ Years
5+ years of experience in MLOps, DevOps, or Machine Learning Engineering.
Strong hands-on experience with Docker and Kubernetes.
Experience building ML pipelines using Kubeflow.
Proficiency in Python and scripting languages.
Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
Knowledge of model deployment, monitoring, and lifecycle management.
Experience with cloud platforms such as AWS, Azure, or GCP.
