Cloud Solutions Architect | Gush Dan
Join a leading healthcare organization and lead end-to-end architecture of advanced AI/ML and GenAI solutions, from POC to production, in a cutting-edge cloud environment.
Responsibilities:
- Lead end-to-end architectural design of AI/ML and GenAI solutions from POC to production
- Design and implement MLOps and DevOps infrastructures
- Work with technologies including Kubernetes, OpenShift, AWS, Azure, GCP, Python, Terraform, Docker, and REST APIs
- Integrate solutions with organizational systems
- Define standards in information security, privacy, and data governance
- Collaborate with development, data, infrastructure, and security teams
- Write architecture documentation and technical specifications
Requirements:
- More than 5 years of experience as a Cloud Solutions Architect in public cloud environments
- Hands-on experience with Kubernetes or OpenShift, including cluster and services management
- Strong experience with Infrastructure as Code, particularly Terraform, as well as CI/CD processes and automation
- Knowledge and experience in AI/ML domains and implementing production-grade solutions
- Experience in development with Python and working with REST APIs, including Linux and containerized environments