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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