Machine Learning Engineer - AI Platform
September 17
Description
•Build and own tools and libraries that accelerate Artera’s ability to develop, launch, and monitor AI products. •Contribute to an evolving data platform utilized by Biostats and machine learning engineers to index, curate, and version all of Artera’s rapidly growing data. •Work with model developers to optimize the efficiency and utilization of large-scale, foundation model, and downstream model training runs. •Optimize Artera’s ability to store terabytes of digital pathology data efficiently for model development.
Requirements
•5+ years of industry experience using Python •3+ years of industry experience using one of PyTorch, TensorFlow, or JAX •3+ years of industry experience building with AWS, Docker, and Kubernetes •Experience using Terraform, SqlAlchemy •Experience using ML orchestration frameworks such as Kubeflow, Metaflow, MLFlow, Flyte, Dagster, Argo Workflow or Prefect •Experience maintaining infrastructure for machine learning training and production inference •Experience designing and developing internal tools to be used by non-technical teams
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