Machine Learning Software Engineer

July 23

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Description

• Design, develop and maintain scalable model training and inference pipelines in a distributed production environment • Design, develop and maintain microservices in Python that host and serve ML models on production • Design, develop and maintain internal tools that enable CI/CD/CT, performant feature engineering, experiment tracking, data and model versioning.

Requirements

• Hands-on experience in software development using Python on a production environment • Good understanding of: • Software system design • The ML project lifecycle • MLOps concepts and tools such as MLflow or Kubeflow • ML algorithms and models. • Experience with cloud providers like Microsoft Azure or AWS • Experience with PySpark and Databricks.

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