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Senior Machine Learning Engineer - Remote Opportunity

Company: EMPLOYERS Insurance Group (EIG)
Location: Austin
Posted on: August 7, 2022

Job Description:

Location: RemoteJob_Code: 5537# of Openings: 1 Senior Machine Learning Engineer - (Austin, Texas preferred but open to remote within the continental United States) Employers' AI mission is to optimize and innovate our products and business using machine learning and AI. The Senior Machine Learning Engineer will partner with various departments (e.g., pricing, marketing, engineering, claims) to deliver innovative ML/AI solutions to solve core business problems. As our Senior Machine Learning Engineer, you will be joining a team of data scientists, researchers , and analysts to understand business problems and the potential for ML/AI solutions. You will be responsible for developing/deploying innovative ML/AI solutions for challenging business problems that are fundamental for Employers. You will also be tasked with research activities that are forward thinking and somewhat unconventional. #LI-Remote Responsibilities

Transform Data Science prototypes to resilient, production-grade solutions at scale
Establish reusable data processing and machine learning pipelines to enable rapid re-training and iteration through different ML methodologies
Follow best practices in development and CI/CD methods and test-driven development
Design, code, and deploy ML systems capable of processing large volumes of real-time data
Run machine learning tests and experiments, monitor for model drift, etc.
Ability to write robust code in Python, Java , and/or R

Minimum Qualifications

BSc in Computer Science, Applied Mathematics, or a closely related field, and 5+ years of industry experience (e.g., ML Engineer, Dev/Ops, Software/Application Engineer)
Experience setting up systems/frameworks (e.g., Databricks/Spark, Containers, KubeFlow, Kubernetes) within AWS or OpenShift
Experience building and deploying ML/DL/RL applications into production
Experience with ML/DL frameworks (e.g., Pytorch, Tensorflow, Keras)

Preferred Qualifications

MS in Computer Science, Applied Mathematics, or a closely related field
5+ years of ML Engineering experience

HP22
BSc in Computer Science, Applied Mathematics, or a closely related field, and 5+ years of industry experience (e.g., ML Engineer, Dev/Ops, Software/Application Engineer)
Experience setting up systems/frameworks (e.g., Databricks/Spark, Containers, KubeFlow, Kubernetes) within AWS or OpenShift
Experience building and deploying ML/DL/RL applications into production
Experience with ML/DL frameworks (e.g., Pytorch, Tensorflow, Keras)
PI186962590

Keywords: EMPLOYERS Insurance Group (EIG), Austin , Senior Machine Learning Engineer - Remote Opportunity, Engineering , Austin, Texas

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