MLOps Engineer (Remote)

Role Overview

Joveo AI is hiring a Remote MLOps Engineer to build and operate the infrastructure that moves machine learning models from experiment to production reliably and repeatedly. You’ll be the backbone of the AI delivery pipeline, ensuring models are versioned, monitored, and deployed with the same rigor as software systems.

Responsibilities

• Build and maintain ML pipelines from training through deployment and monitoring
• Design model registries, experiment tracking, and feature store infrastructure
• Automate model retraining, validation, and deployment workflows
• Monitor deployed models for performance drift, data skew, and prediction quality
• Collaborate with ML engineers and data scientists to streamline the path to production
• Integrate ML infrastructure with CI/CD systems 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 including Docker, Kubernetes, and Terraform
• Experience building automated training and deployment pipelines
• Familiarity with feature stores such as Feast, Tecton, or Hopsworks
• Understanding of model monitoring and drift detection approaches
• Strong DevOps/platform engineering fundamentals applied to the ML lifecycle