Profile cover
A

AI Blue-Green Model Deployment Engineer

Rolvex Solutions

Remote · Under $60k / year · Full-time · Posted 5 months ago

No longer accepting applications

This role is no longer accepting applications

Don't miss the next role like this

Create a free profile with your skills. We match you to new AI roles as they open, and companies hiring can contact you directly.

Create free profile, 2 minutes

Similar open roles you can apply to now:

See all open AI jobs

About the role

Deploying a new model version shouldn't feel like defusing a bomb. Blue-green deployment eliminates the risk: the new model runs alongside the old one, receives a small percentage of traffic, and only takes over fully once metrics confirm it's performing at least as well. If anything goes wrong, traffic reverts to the old model in under 30 seconds. You'll build the deployment orchestration that manages this process: spinning up the new model environment, configuring traffic splitting, monitoring comparison metrics in real time, and automating the promotion or rollback decision. The system needs to handle 340 models across 28 clients, each with different SLOs, comparison metrics, and rollback triggers. The deployment platform team is four engineers. As the junior engineer, you'll focus on the traffic management and metric comparison layers. Your senior teammates handle the underlying Kubernetes orchestration; you handle the deployment workflow that decides when it's safe to proceed.

Fully remote.

Responsibilities

  • Build deployment workflows managing blue-green model transitions
  • Implement traffic splitting with configurable percentages
  • Create real-time metric comparison between old and new model versions
  • Automate promotion and rollback decisions based on SLO compliance
  • Handle deployment configuration for client-specific requirements
  • Monitor deployment health and alert on anomalies

Requirements

  • 1+ year of software development or DevOps experience
  • Basic understanding of Docker and Kubernetes concepts
  • Familiarity with REST APIs and Python scripting
  • Interest in MLOps and deployment engineering
  • Systematic approach to testing deployment workflows

Benefits

  • Fully remote across EU time zones
  • 28 days PTO
  • €1,500 learning budget
  • Structured onboarding and mentorship
  • Build deployment infrastructure for hundreds of ML models

Keep exploring related roles

Use these topic pages to discover more roles in the same hiring cluster.

Categories

MLOps & AI Infrastructure AI & Machine Learning Engineers

Skills

python docker kubernetes aws mlflow

Related remote AI jobs

Nearby roles that share similar skills, categories, or hiring intent.

Browse all jobs

AI Security Engineer Intern (Summer 2027)

Brainco

Full-time Intern

Software Engineer, Infrastructure

Niantic Spatial

Full-time

Research Engineer / Scientist, Pre-training

Anthropic

Full-time

Senior Infrastructure Engineer

Harvey

Full-time Senior

Senior Infrastructure Engineer

Harvey

Full-time Senior

Software Engineering Manager, AI Migrations

Snowflake

Full-time

Job Type

Full-time

Level

Junior

Language

English

Salary Range

Under $60k / year

AI Expertise

MLOps & AI Infrastructure AI & Machine Learning Engineers

Skills

python docker kubernetes aws mlflow fastapi

Ready to apply for this role?

Create a free talent account.

  • Find AI roles in one place
  • Get AI-matched job recommendations
  • Reply to companies that message you
  • Build your public AI talent profile
Create free account & apply Log in

This role is closed. Create your free profile to apply to similar open roles.

Don't miss the next one: get matched to new roles like this.

Create free profile