ML Ops Engineer

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

ML Ops Engineer.

Job Details

Hi ,

We have a job opening for the position of ML Ops Engineer.

Please find the job description below and if you are interested, share your recent resume with contact details...

Job Title : ML Ops Engineer..

Location : San Francisco. CA

Duration : Long Term

Job Responsibilities:

  • Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
  • Work on a backlog of activities to raise MLOps maturity in the organization.
  • Proactively introduce a modern, agile and automated approach to Data Science.
  • Conduct internal training and presentations about MLOps tools benefits and usage.
  • Management and development of continuous integration and deployment
  • Prototyping and developing cloud-native architecture solutions for application needs, particularly with AWS
  • Providing infrastructure-as-code utilizing Terraform and AWS Cloud Formation

Requirements:

  • Wide experience with Kubernetes and Docker is a must have
  • Experience in operationalization of Data Science projects (MLOps) using at least two one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, h2O etc).
  • Good understanding of ML and AI concepts. Hands-on experience in ML model development
  • Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.
  • Experience in CI/CD/CT pipelines implementation.
  • Experience with AWS cloud platforms is a must have.
  • Providing infrastructure-as-code utilizing Terraform and AWS Cloud Formation
  • Experience with Data Science IDE tools like Jupyter Notebook and RStudio

Thanks & Regards,

Subash US IT Consulting

w: e :

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