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MLOps Engineer — Model Deployment & Monitoring
Luca Ferretti
Freelance · Senior
About the role
We need an experienced MLOps engineer for a 6-month engagement to help us migrate our ML model serving from a manual notebook-based workflow to a fully automated, monitored pipeline.
Currently: models are deployed manually, there is no drift monitoring, and retraining is done ad hoc. Goal: CI/CD for models, automated retraining triggers, drift alerts, and a clean deployment process on AWS.
You won't be building models — you'll be building the infrastructure that makes our models reliable and reproducible.
Requirements
Technical stack needed for this mission.
- – Strong Kubernetes and Docker experience
- – Experience with MLflow or similar experiment tracking
- – AWS (SageMaker, EKS, or Lambda) deployment experience
- – Has set up CI/CD pipelines for ML models before
- – Can work EU timezone hours
Contract Type
Hourly rate
Level
Senior
Budget Range
$80 – $120 / hour
Duration
6 months
AI Expertise
MLOps & AI Infrastructure
MLOps & Industrialisation
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