MLOps Engineer (Remote)

Role Overview

Joveo AI is hiring a Remote MLOps Engineer to build and operate the infrastructure behind its machine learning models. You’ll own the backbone of the AI delivery pipeline—ensuring models are versioned, monitored, and deployed with the same rigor as production software.

Responsibilities

• Build and maintain ML pipelines from training through deployment and monitoring
• Design and manage model registries, experiment tracking, and feature store infrastructure
• Automate model retraining, validation, and deployment workflows
• Monitor production models for performance drift, data skew, and prediction quality
• Collaborate with ML engineers and data scientists to streamline delivery to production
• Integrate ML infrastructure with CI/CD and cloud platforms

Required Skills & Qualifications

• Strong experience with ML platforms such as MLflow, Kubeflow, SageMaker, or Vertex AI
• Proficiency in Python and infrastructure tooling: Docker, Kubernetes, Terraform
• Experience creating automated training and deployment pipelines
• Familiarity with feature stores (e.g., Feast, Tecton, or Hopsworks)
• Understanding of model monitoring and drift detection approaches
• Strong DevOps/platform engineering fundamentals applied to the ML lifecycle

Nice to Have

• Additional experience spanning multiple ML platform and feature store ecosystems is beneficial