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RA
ramblr GmbH
6mo ago

DevOps / MLOps Engineer(m/w/x)

Dresden
Full-timeOn-siteExperienced
AI/ML
Data Science

Description

In this role, you will work closely with development teams to create a robust cloud-native infrastructure, focusing on transitioning machine learning algorithms into secure and scalable production systems.

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Requirements

  • Ability to build scalable backend and frontend services for machine learning
  • Strong experience with DevOps tools, preferably GitLab
  • Strong experience with cloud providers, preferably Google Cloud and Azure
  • Strong experience with IaC, preferably Terraform
  • Strong experience with containerisation and micro-service architectures
  • Some experience with MLOps principles and tooling is a plus
  • Coding skills in Python and basic knowledge of mypy, pylint/black, pytest
  • Experience with resource scaling, load balancing, and config management
  • Designing secure and privacy-sensitive systems, GDPR compliance
  • B.Sc./M.Sc./Ph.D. in computer science or a related field
  • 3+ years of experience

Education

Bachelor's degree
OR
Master's degree
OR
Doctoral / PhD

Work Experience

3 years

Tasks

  • Collaborate with development teams
  • Build cloud-native infrastructure
  • Implement Infrastructure as Code (IaC)
  • Develop CI/CD pipelines
  • Transition machine learning algorithms to production
  • Ensure systems are reliable and scalable
  • Maintain security and privacy standards

Tools & Technologies

GitLabGoogle CloudAzureTerraformKubernetesDockerArgoCDHelmPythonmypypylintblackpytest

Languages

EnglishBusiness Fluent

Benefits

Competitive Pay

  • Equity incentive plan

Startup Environment

  • Creative working environment

Purpose-Driven Work

  • Full responsibility for tasks
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of ramblr GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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