Machine Learning Engineer

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Job Description

• Optimize workflows when developing and deploying machine learning models.
• Explore and optimize our existing technology stack, finding ways to reduce query times, speed up model development, maximize utilization of resources, and maximize cluster uptime - this may come through experimenting with different open source technology stacks in sandbox / dev environments, evaluating potential tools from external vendors, and empowering the other advance analytics team members are implementing best practices in MLOps.
• Ensure that the machine learning models deployed in production are functioning as expected.
• Explore other ways to improve Mynt Advance Analytics workflows by building internal tools, machine learning libraries and microservices (such as our internal REST APIs, Job scheduling API, etc.)
• Monitor and maintain uptime of the DS team's technology stack, which includes Kubernetes, Apache Spark, Apache Zeppelin, Jupyterhub, RStudio, R Shiny and internal REST APIs.

Responsibilities

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