ML Ops Engineer

  • Austin, TX
  • Posted 2 days ago | Updated 2 days ago

Overview

On Site
$60 - $65
Contract - W2
Contract - Independent
Contract - 24 Month(s)

Skills

ML Ops
Kubernetes
Python
MLFlow
Airflow
Kubeflow

Job Details

Job Summary
For this role, we are looking for ML Ops Engineer with Kubernetes and Python.
Experience Required:
6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS
Qualifications:
Experience working with cloud computing and database systems
Experience building custom integrations between cloud-based systems using APIs
Experience developing and maintaining ML systems built with open-source tools
Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes
Experience developing containers and Kubernetes in cloud computing environments
Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.)
Ability to translate business needs to technical requirements
Strong understanding of software testing, benchmarking, and continuous integration
Exposure to machine learning methodology and best practices
Good communication skills and ability to work in a team

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