MLOps Lead Engineer

About the role

The MLOps Lead Engineer will be responsible for automating and maintaining machine learning and data pipelines at scale. The role involves collaborating with data scientists and engineers to containerize and deploy new modules while managing on-premise spark clusters.

Responsibilities

• Automate and maintain ML and data pipelines at scale
• Collaborate with data scientists and data engineers on feature development teams
• Containerize and build out deployment pipelines for new modules
• Maintain and expand on-prem deployments with spark clusters
• Design, build and optimize application containerization and orchestration with Docker, Kubernetes, and AWS or Azure

Required skills

• MLOps
• Data pipelines
• Docker
• Kubernetes
• AWS
• Azure
• Spark