
Artificial Intelligence • Software • Education
Flower Labs is a company that develops a friendly federated AI framework called Flower, which enables users to implement federated learning across various machine learning frameworks and programming languages. Flower aims to simplify the process of federated learning, allowing efficient distribution and execution of workloads across a multitude of clients. The platform is designed for scalability and usability, supporting diverse devices and cloud systems for research and production purposes.
11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
📚 Education
October 17

Artificial Intelligence • Software • Education
Flower Labs is a company that develops a friendly federated AI framework called Flower, which enables users to implement federated learning across various machine learning frameworks and programming languages. Flower aims to simplify the process of federated learning, allowing efficient distribution and execution of workloads across a multitude of clients. The platform is designed for scalability and usability, supporting diverse devices and cloud systems for research and production purposes.
11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
📚 Education
• Design, implement, and maintain scalable, secure, and resilient cloud infrastructure using Terraform, OpenTofu, and Ansible • Develop infrastructure automation and deployment strategies across multiple environments (AWS, GCP, Azure) • Define and enforce best practices for GitOps, configuration management, and infrastructure lifecycle • Work with engineering teams to design and evolve Kubernetes-based deployments for Flower’s products and open-source systems • Collaborate closely with backend, research, and frontend teams to ensure our systems are scalable, reliable, and secure
• Proven experience with Terraform, OpenTofu, and Ansible • Strong knowledge of Kubernetes, Docker, and GitOps workflows (ArgoCD) • Hands-on experience with Prometheus, Grafana, and modern observability stacks • Proficiency with GitLab and/or GitHub CI/CD pipelines • Strong Linux (Debian, Ubuntu) administration experience • Practical experience with AWS, GCP, or Azure • Excellent written and verbal communication in English • Self-driven, collaborative, and comfortable with asynchronous remote work
• Flexible working hours • Opportunity to work on meaningful AI projects • Autonomy and ownership in projects
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