Remote, California

  Machine Learning

Permanent

Our client which provides AI based data and analysis that is used through the Power and Utilities industries are hiring a MLOps Engineer to join their team.  The company provide services that allow their clients to lower operating costs, prevent outages and ensure a safer and more reliable system.

Responsibilities: 

  • Working closely with a talented team of Engineers and Product Managers

  • Build end to end machine learning products and pipelines

  • Build Docker containers for trained machine learning models

  • Deploy Docker container images on Kubernetes engine

  • Develop Flask and FastAPI frameworks in Python

  • Develop end to end pipeline for deploying software platform backend infrastructure

  • Build end to end methodology for backend modules

  • Establish platform features and timelines for product roadmap

  • Integrate SQL database objects with the software platform

  • Integrate machine learning model REST API endpoints with software platform

Skillset:

  • Bachelor’s degree in computer science or related field and 4 years’ experience or master’s degree and 2 years of experience

  • Designing, implementing, debugging web technologies and server architectures (Java,

  • JavaScript, NodeJS), databases in Cloud Infrastructure and with Python programming language

  • Develop applications, API integrations on cloud infrastructures to handle customer data

  • Utilizing and maintaining cloud infrastructure and services of Google Cloud Platform

Please Note:
The position is remote and open to candidates who have a current right to work in the USA without the current or future need for sponsorship.  The candidate can be based anywhere in the USA. 

Salary: Max. $140k + benefits 

Interested? Apply now in the link below or email your resume to matthew@alldus.com for consideration.

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