Staff MLOps Engineer – AI/ML Platform

📋 Description

• Evaluate and make decisions regarding the existing pipeline

• Develop the collaborative AI/ML platform

• Manage the entire ML lifecycle

• Own the training infrastructure on Databricks and Unity Catalog

• Create the serving layer

• Integrate with our Java/Spring services

• Establish the observability required for our models

• Define cost-effective training and serving patterns

• Serve as a force multiplier by mentoring AI/ML and Infrastructure engineers

• Promote the adoption of AI tooling

⛳️ Requirements

• Extensive expertise in ML platforms

• Advanced engineering capabilities

• Experience as a systems architect

• Proven technical leadership

• Practical approach to buy-vs-build decisions

• Strong commercial awareness

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Options for remote work