Remote Senior MLOps Engineer: Real-Time ML Pipelines

A technology-driven insurance firm is seeking a Senior Data Engineer specializing in MLOps to drive model development and delivery best practices. This role requires expertise in Python, AWS, and CI/CD for machine learning.

Key responsibilities include operationalizing data science solutions and designing ML pipelines. Benefits include a competitive salary of $213,000 to $300,000, remote work flexibility, and various personal development opportunities.

The position is primarily remote, allowing for work from anywhere in the U.S. #J-18808-Ljbffr Quanata