remote
Senior AI Platform Engineer - UST
Devops Engineer
Design and lead scalable AI platform solutions on cloud infrastructure, leveraging Python, Kubernetes, Docker, and AWS to deliver production‑grade machine‑learning services with robust CI/CD pipelines.
About the role
Key Responsibilities
- Architect, develop, and maintain a cloud‑native AI platform that supports end‑to‑end machine‑learning workflows.
- Design and implement containerized services using Docker and orchestrate them with Kubernetes on AWS.
- Build automated CI/CD pipelines and infrastructure‑as‑code templates (Terraform, CloudFormation) to ensure repeatable, secure deployments.
- Collaborate with data scientists and product teams to integrate model training, serving, and monitoring components.
- Optimize performance, cost, and reliability of the platform through proactive scaling, logging, and alerting strategies.
Requirements
- 5+ years of experience in cloud infrastructure engineering, preferably with AWS.
- Strong proficiency in Python and container technologies (Docker, Kubernetes).
- Hands‑on experience building CI/CD pipelines and using IaC tools such as Terraform.
- Solid understanding of machine‑learning lifecycle and deployment patterns.
- Excellent problem‑solving skills and ability to work cross‑functionally in an agile environment.
Skills
pythonkubernetesdockerawsmachine learningterraformcicd