ML Ops Engineer

We are looking for an MLOps Engineer to take ML models from notebook to production reliably.

Responsibilities

Build ML training and deployment pipelines

Track experiments and models with MLflow

Run pipelines on Kubeflow or SageMaker

Monitor model drift and performance

Requirements

2+ years in MLOps or ML engineering

Hands-on with MLflow and Kubeflow or SageMaker

Experience serving models at scale