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