Description We seek an MLOps Engineer with 5+ years of experience building and deploying machine learning models. The ideal candidate has deep expertise across the MLOps lifecycle and the infrastructure needed to train, track, and serve models. The role focuses on developing a template repository to accelerate ML application delivery on AWS SageMaker, encompassing data collection and annotation, dataset versioning, model training, experiment tracking, model deployment, and model monitoring. Qualifications AWS Cloud Expertise: Solid experience with AWS Sagemaker endpoints, pipelines, experiments, processing and training jobs ML: 5+ years' experience in ML/DL development (e.g. forecasting, computer vision...) MLOps: Solid understanding of the MLOps lifecycle (training, tracking, serving). experience with MLFlow.
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