We have 15+ ML models in production and no proper model registry, versioning, or CI/CD. Models are deployed by hand, documentation is scattered, and retraining is manual.
We need an MLOps engineer to build the foundation — a model registry (MLflow or similar), a CI/CD pipeline for automated testing and deployment, and basic drift monitoring.
This is a 70% infrastructure, 30% tooling role. You won't be training models. You'll be making model deployment boring and reliable.
Job Type
Full-time
Level
Mid-level
Language
English
Salary Range
$80k – $110k / year
AI Expertise
MLOps & Industrialisation
MLOps & AI Infrastructure