ML Ops Engineer (Databricks) - Remote

Overview

We are seeking an ML Ops Engineer to join our data and machine learning team. This role will focus on enabling, operationalizing, and maintaining our machine learning workflows. While senior ML scientists and data scientists lead model development, this role ensures those models are successfully deployed, tested, and maintained in production environments.

In Short

• Partner with ML scientists to operationalize models in Databricks and AWS.
• Build, monitor, and optimize pipelines for training, testing, and deployment.
• Establish systems for model versioning, automated testing, and performance monitoring.
• Manage infrastructure for scaling workloads and maintaining reliability.
• Troubleshoot and resolve issues across the ML lifecycle.
• Document processes and create repeatable, automated workflows.
• Creating and maintaining complex data dashboards with sophisticated datasets and calculations.

Requirements

• Experience with ML Ops practices and tools.
• Proficiency in Databricks and AWS.
• Strong understanding of machine learning workflows.
• Experience in building and optimizing data pipelines.
• Ability to troubleshoot and resolve technical issues.
• Excellent documentation skills.
• Experience with data visualization tools.

Benefits

• Opportunity to work with cutting-edge technologies.
• Collaborative and innovative work environment.
• Professional development opportunities.
• Competitive salary and benefits.