MLOps Engineer

About the role

The MLOps Engineer will be responsible for enabling model tracking, experimentation, and automation. The role involves developing ML pipelines and MLOps components throughout the machine learning development lifecycle.

Responsibilities

• Enable model tracking, model experimentation, and model automation
• Develop ML pipelines to support machine learning workflows
• Develop MLOps components in the machine learning development lifecycle
• Work across all phases of the model development lifecycle to build MLOps solutions

Required skills

• MLOps
• ML pipelines
• Model tracking
• Model automation
• MLFlow
• Kubeflow

Nice to have

• DataRobot
• HopsWorks
• Dataiku