MLOps Engineer - Remote

Overview

We’re looking for a skilled and motivated MLOps Engineer to help scale and productionize the machine learning systems that power Loopio’s intelligent product features.

In Short

• Build and maintain robust ML pipelines for training, evaluation, and deployment.
• Package and deploy models into production environments using tools like Docker, Kubernetes, and SageMaker.
• Help implement systems to monitor model health in production and detect drift.
• Work within CI/CD systems to support model validation and deployment workflows.
• Partner with ML Engineers and Data Scientists to bring ML systems into production.

Requirements

• 2+ years of experience in ML operations or related infrastructure roles.
• Comfort with AWS, Docker, and Kubernetes.
• Strong Python development skills.
• Experience with tools like MLflow, SageMaker, TensorFlow Serving.
• Comfortable collaborating with technical and non-technical stakeholders.

Benefits

• Ongoing feedback and regular 1-on-1s for development.
• Professional mastery allowance for learning support.
• Health and wellness benefits starting from day one.
• Remote work setup with a MacBook and subsidies for phone and internet.
• Supportive culture with opportunities for connections in a remote environment.