About the role
The team develops a comprehensive cloud infrastructure for AI applications. The Solutions Architect guides customers on cloud services for machine learning, architects and deploys solutions, and enhances pipeline efficiency. This position requires understanding client requirements and serving as a key technical resource.
Our summary of the posting; the original is on the Nebius careers page.
What the posting requires
- Required
- IaC
- Kubernetes
- Python
- GPU software stack
- Configuration management
- CUDA
- Terraform
- OpenCL
- Ansible
- Preferred
- HPC
- Deep learning
- Cloud ML tools
- ML orchestration
- TensorFlow
- NVIDIA
These tags are our reading of the posting. They can miss something; the original posting is the reference.