About the role
DatologyAI is seeking an experienced Cloud Infrastructure Engineer to design, build, and operate highly available, secure, and scalable cloud infrastructure powering training, inference, and data curation pipelines. The role involves multi-cloud infrastructure (primarily AWS), Kubernetes, Terraform, CI/CD, monitoring, and collaboration with research and engineering teams for large-scale ML model training.
Requirements
The candidate must have 4+ years of relevant experience, strong background with AWS, Kubernetes, Terraform, and containerized architectures, comfort with systems-level debugging, and ability to write clean scripts in Bash, Python, or Go. Experience leading infrastructure systems at a startup is required. Nice-to-haves include ML workload infrastructure and large-scale datasets.
About the company
DatologyAI
Datology AI is a data curation platform that leverages cutting-edge research to optimize training data for AI models. They enable companies to train higher-performing models faster, more efficiently, and at a reduced cost by automatically identifying and prioritizing the most valuable data points.
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