MLOps Engineer

Full-time Tashkent · hybrid

Description

You build the infrastructure to ship and monitor models in production. You own CI/CD, containers and the model registry.

You ensure the AI team's speed and reliability.

Responsibilities

  • -Build model deployment and monitoring pipelines
  • -Work with CI/CD, Docker and Kubernetes
  • -Manage the model registry and versioning
  • -Set up drift and performance alerts

Requirements

  • -2+ years MLOps or DevOps
  • -Docker, Kubernetes and CI/CD experience
  • -Python and cloud (AWS/GCP)
  • -Experience with monitoring tools

What we offer

  • -Work at one of Uzbekistan's leading banks and a hybrid format
  • -Career growth and learning with mentor support
  • -A strong AI team, conferences and meetups
  • -Competitive salary - discussed at the interview