Senior MLOps Engineer

About the Role:

As a Machine Learning Operation Engineer, you will work on deploying, scaling, and optimizing backend algorithms, robust and scalable data ingestion pipelines, machine learning services, and data platforms to support analysis on vast amounts of text and analytics data. You will apply your technical knowledge and Big Data analytics on Onclusive's billions of online content data points to solve challenging marketing problems. ML Ops Engineers are integral to the success of Onclusive.

Your responsibilities:

• Design and build scalable machine learning services and data platforms.
• Utilize benchmarks, metrics, and monitoring to measure and improve services.
• Manage system currently processing data on the order of tens of millions of jobs per day.
• Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.<...