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 Skills:- MLFlow, kubeflow, Deployment management and Machine Learning (ML)