Machine Learning Engineer


Machine Learning Engineer

Machine Learning Engineer

  • Design, develop, release and maintain reliable, secure and scalable machine learning solutions in a cloud environment (strong preference for GCP and AWS), preferably using infrastructure as code (e.g. Terraform)
  • Build reliable, secure, and scalable data pipelines and production-ready ML pipelines that allow our data scientists to bring ML models to production quickly and responsibly
  • Identify business and technical requirements to help define a robust data extraction & transformation process, collaborating with data science, product, and other technical teams.
  • Partner with stakeholders as a subject matter expert on ML infrastructure at scale
  • Develop data workflow monitoring and alerting solutions that provide diagnostic & actionable information to stakeholders
  • Use agile software development principles, DevOps/SRE, and MLOps practices to facilitate a bigger data science impact
  • Work cross-functionally with Data Engineering, ML Engineering, and DevOps to resolve issues and standardise practices
  • Guide and coach data scientists to help them develop their engineering skills
  • Be an active part of the Best Practice Ambassador community including senior data scientists & ML engineers

Interested? Apply today!

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