Machine Learning Ops

Company: Insight Global
Location: Chicago, Illinois, United States
Type: Full-time
Posted: 13.AUG.2021

Summary

Our Client is looking for an experienced senior machine learning engineer to join on a long term contract to support their newMachine Learni...

Description

Our Client is looking for an experienced senior machine learning engineer to join on a long term contract to support their newMachine Learning Operations initiative. This will be an opportunity to help explore new technology and build new toolsto modernize data analysis, model development, and model deployment within their organization.Principal Duties & Responsibilities: Build out, support, and maintain the Analytics and Data Kubernetes cluster in AWS Design and deploy the necessary infrastructure to ensure apps and model endpoints are highly-available,performant, and secure Define and implement tools and processes to enable the analytics and data science teams to deliver theirinsights and models Minimum Requirements3+ years professional software development experience with writing clean and efficient code in an agileenvironment Experience with deploying and maintaining machine learning model API endpoints Built and deployed infrastructure in AWS using Terraform or CloudFormation Experience with building and deploying API endpoints and applications in Kubernetes Instrumented deployed endpoints and applications with logging and monitoring to ensure maintainability andhigh-availability Experience with Continuous Integration/Continuous Deployment tools such as Jenkins or CircleCI Desired SkillsExperience with open-source ML tools such as Kubeflow or MLFlow Worked with big data using Spark or Dask Created data and ML pipelines using Airflow Familiar with loading and querying data in Snowflake

 
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