Middle MLOps Engineer

Eurosoft; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-first

Hybrid option in Tashkent

USD salary

Job summary

Eurosoft is seeking an experienced MLOps Engineer to deploy and operate ML models in production across cloud and on‑premise environments. You will own model serving and monitoring, working with GPU‑backed infrastructure and data pipelines.

You will configure model serving with vLLM or Triton, leverage Docker and Kubernetes in CI/CD workflows, and ensure reliability from design through to production delivery. Excellent written English is required; Russian or Uzbek is a plus.

Qualifications

• 2–4 years of commercial MLOps experience.
• Experience with model serving tools such as vLLM or Triton.
• Familiarity with GPUs and production model deployment.
• Experience with Docker, Kubernetes and CI/CD.
• Ability to monitor models and data pipelines.

Responsibilities

• Deploy and operate models in cloud and on‑premise environments.
• Configure model serving with vLLM, Triton or comparable tools.
• Work with GPU-backed systems to support production workloads.
• Use Docker, Kubernetes and CI/CD in deployment workflows.
• Monitor models and data pipelines.
• Own feature delivery from design through production.

Skills

MLOps experience

Model serving

Docker

Kubernetes

CI/CD

GPU deployment

Written English

Tools

vLLM

Triton

Docker

Kubernetes

Job description

Role overview

Deploy and operate machine-learning models in production across cloud environments and client-managed servers. You'll work on model serving, GPU-backed infrastructure and the systems used to monitor models and data pipelines, carrying features through to production.

Responsibilities

• Deploy and operate models in cloud and on-premise environments.
• Configure model serving with vLLM, Triton or comparable tools.
• Work with GPU-backed systems to support production workloads.
• Use Docker, Kubernetes and CI/CD in deployment workflows.
• Monitor models and data pipelines.
• Own feature delivery from design through production.

Requirements

• 2-4 years of commercial MLOps experience.
• Experience with model serving tools such as vLLM or Triton, or similar systems.
• Familiarity with GPUs and production model deployment.
• Experience with Docker, Kubernetes and CI/CD.
• Ability to monitor models and data pipelines.
• Good written English; Russian or Uzbek is a plus.

Benefits and work setup

• Remote-first work, with the option of a hybrid arrangement in Tashkent.
• Work on AI assistants, private language-model and retrieval systems, and enterprise software.
• Salary set in USD according to experience.
• Join a small, experienced team and work directly with its leadership.