Argo Workflow
2 job openings found.
Delivery Hero SE
In this role, you will develop powerful machine learning models for optimizing logistics processes, build robust infrastructure for data feeds, and collaborate closely with data scientists to create real-time solutions.
adesso SE
In this role, you will develop scalable microservices using Java and Spring Boot, integrate external systems, and manage CI/CD pipelines for automating AI workflows in cloud environments.
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Zeit Verlagsgruppe
In this role, you lead a specialized team, develop an ML/AI Ops platform, and integrate AI models into existing systems using GCP and Kubernetes.
Bundesdruckerei GmbH
In this role, you will develop the data infrastructure for an AI assistant, design ETL processes, monitor data quality, and work with modern technologies for data analysis and integration.
SUBMER
In this role, you design and implement compute orchestration for a GPU-native cloud platform supporting AI workloads while maintaining existing systems and driving the design of new architectures.
api GmbH
In this role, you will build secure cloud infrastructures on AWS and enhance Kubernetes environments. You will work on Infrastructure-as-Code using Terraform and optimize CI/CD pipelines and platform observability.
VEACT GmbH
In this role, you will define the technical vision of the data platform, lead the team in designing and implementing best practices for data processes, and oversee data pipeline quality using modern technologies.
Zeitverlag Gerd Bucerius Gmbh & Co. Kg
In this role, you will lead a team, develop an MLOps platform, and support the integration of ML applications while collaborating closely with various technical departments.
In this role, you will develop ML/AI platform solutions on Google Cloud Platform, implement MLOps standards, and integrate ML models for production applications while collaborating closely with various teams.
Georg von Holtzbrinck GmbH & Co. KG
In this role, you will lead a technical and organizational ML/AI team, develop MLOps platforms, and integrate AI models into production applications on Google Cloud.
In this role, you lead a team of ML/AI experts, develop an MLOps platform, and integrate AI models into production systems using Google Cloud, Kubernetes, and Infrastructure-as-Code principles.
In this role, you select ML tools, develop an MLOps platform on GCP and Kubernetes, integrate AI models, and ensure their stability through monitoring and observability for product development teams.
freshcells systems engineering GmbH
In this role, you implement automated solutions for scalability and system reliability of Kubernetes applications, support CI/CD pipelines, and promote DevOps and MLOps best practices.
In this role, you design and configure CI/CD pipelines, implement security solutions, and manage databases. You automate deployments with modern tools and ensure quality assurance of our platform by closely collaborating with various teams.
You design and operate CI/CD pipelines, automate deployments with Ansible, Terraform, Helm, Kustomize and ArgoCD, manage Postgres/MariaDB, run on-prem tools and integrate authentication (LDAP/SAML/OIDC/Keycloak).