Argo Workflow Job in Austria

In this role, you will develop a reliable cloud platform using Docker, AWS EKS, and custom Kubernetes operators. You will also manage Infrastructure as Code with Crossplane and Terraform while implementing observability tools.

In this role, you will develop and scale the infrastructure for AI and ML applications, automate Kubernetes deployments, and optimize large-scale ML models using modern tools like Ray and Prometheus.

In this role, you will develop infrastructure for AI applications, including Kubernetes deployments, automated ML workflows, and optimization of large-scale models; collaborating closely with Data Scientists and implementing monitoring solutions.

In this role, you will implement data processing pipelines using Python and Django, optimize cloud deployments with Kubernetes, and automate data orchestration for agricultural environmental monitoring solutions.

In this role, you will coordinate cross-platform projects in the Machine Learning space, mentor a team of engineers, and develop strategies to foster an effective research environment.

In this role, you will build our cloud infrastructure, set up and maintain development platforms while ensuring developers are well-supported and communication with on-premise systems is efficient.

In this role, you manage the development of machine learning platform solutions, coach a team of engineers, coordinate projects, and optimize the research process across the full ML lifecycle.

In this role, you will establish cloud infrastructure, ensure security, connect cloud services with on-premise systems, and support development teams with monitoring and onboarding activities.

Welcome to Space! We work with large volumes of satellite data and integrate them into internationally sought-after solutions, for example  EOxHub workspaces (https://hub.eox.at) We develop high-quality software solutions to make satellite data...

You will: make “quality first” architectural decisions based on performance, scalability and reliability. Design integrations and edge execution use cases. Specify technical and non-functional requirements (e.g. scalability, robustness). Define and...

An Austrian company that operates a leading Internet platform and operates in the high-performance sector with millions of users is looking for reinforcements.

Maintaining and improving the data science infrastructure is part of your job As a Platform Engineer, you manage deployments in Kubernetes with a focus on automation You automate ML workflows with tools like Jenkins, Flyte, Argo Optimizing large ML...

Construction, further development and integration of our state-of-the-art scalable data platforms (Kubernetes, File/Object Storage) Conception and implementation of scalable data pipelines and workflows (containerization, Docker, Airflow/Argo etc.)...

Maintaining and improving the data science infrastructure is part of your work As a Platform Engineer, you manage deployments in Kubernetes with a focus on automation You automate ML workflows with tools like Jenkins, Flyte, Argo Optimizing large ML...