AI DevOps Engineer

VOQUZ Group

. Develop and deploy tools for AI teams to implement end-to-end solutions on distributed systems .

Posted 11/6/2026full-timeVienna • AustriaMid-LevelSenior💰 €76,216 - €80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying MLOps architectures and tools for AI teams, with a strong focus on optimizing distributed systems and implementing best practices in infrastructure management. Proficient in Python and familiar with various machine learning frameworks and tools.

Highest-signal resume keywords

MLOps Architecture DesignPython ProgrammingKubernetes ExperienceGitLab CI/CD ProficiencyLinux Administration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

MLOpsPythonKubernetesDockerTensorFlowPyTorchGitCI/CDLinuxNetworking

Tools & Technologies

AirflowKubeflowMLflowApache NiFiJupyter NotebooksNexusArtifactoryS3MinIOOpenShift

Industry Keywords

Distributed SystemsAI ApplicationsInfrastructure OptimizationVersioned StorageIT SecurityMachine Learning Development

Tech Stack

Tools & technologies

AirflowApacheDockerJavaKubernetesLinuxOpenShiftPythonPyTorchScikit-LearnTensorflowC++

About the role

Key responsibilities & impact

Develop and deploy tools for AI teams to implement end-to-end solutions on distributed systems
Install, configure, and maintain open-source tools in distributed environments
Optimize infrastructure in collaboration with MLOps Engineers, Data Engineers, and Data Scientists
Select suitable architecture components and systems and implement them in practice
Create architecture and developer guidelines
Implement IaaS, GitOps, and MLOps projects
Automate appropriate processes
Design and implement MLOps architectures using Airflow, Kubeflow, MLflow, PyTorch, and Apache NiFi
Familiarize yourself with the customer’s infrastructure and existing AI projects at the Vienna location
Take on initial responsibilities for operations and the optimization of deployment processes

Requirements

What you’ll need

Excellent knowledge of Linux, particularly RHEL and Ubuntu
Experience with Kubernetes, OpenShift, Docker, or Podman
Experience with TensorFlow, PyTorch, or Scikit-learn
Familiarity with Jupyter Notebooks and machine-learning development environments
Excellent Python skills
Experience with R, Julia, Java, or C++ is an advantage
Experience with Git and CI/CD tools, particularly GitLab/GitLab CI (must-have)
Experience with repository management systems such as Nexus or Artifactory (must-have)
Knowledge of versioned storage integrations, such as S3 and MinIO
Knowledge of networking and IT security
Understanding of the requirements of AI applications, from architecture and data storage through to production deployment
German language skills at C-level proficiency
EU citizenship
Willingness to work onsite in Vienna every week

Benefits

Comp & perks

Permanent employment contract
25 days of annual leave
Flexible working hours
Option to work from home
Home office equipment
Company mobile phone
Company laptop
Vouchers, discounts, and employee benefits
Regular team events and company celebrations
Casual dress code
Accessible facilities
Structured mentoring