About The Role

At Flo we go from idea to production in minutes. In this role you own the end-to-end Machine Learning Pipeline together with CI/CD for our ML Engineering process. You focus on code, versioning of datasets, models and production endpoints to allow ML Engineers to collaborate, experiment and scale fast. 

Responsibilities

  • ML Pipeline Automation.
  • Continuous Integration for Machine Learning projects.
  • Continuous Delivery for Machine Learning projects.
  • Improve and advance DataOps and MLOps infrastructure and operational processes. 

Basic Qualifications

  • 4+ years of industry experience in applied ML.
  • Strong proficiency with Python, Scala and/or Go.
  • Experience with AWS or other cloud providers.
  • Experience with Jenkins or other build tools.
  • Experience with ML Inference servers such as Triton, KFServing, or Seldon Core.
  • Experience with Kubeflow, MLFlow or Sagemaker.

Preferred Qualifications

  • Experience with infrastructure as code tools such as Terraform, Cloudformation, Ansible, Puppet or Chef.
  • Experience with Kubernetes.
  • Experience with Spark and/or databricks.
  • Experience at the tier 1 product company or related experience working within the product organization.

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