Machine Learning Platform Engineer

1 month ago

Sydney, New South Wales, Australia Randstad Full time
About the Role

We are seeking a highly skilled Machine Learning Platform Engineer to join our team at Randstad.

As a Machine Learning Platform Engineer, you will be responsible for implementing MLOps to streamline model experimentation and ML tooling and workflows.

You will work in a multi-disciplinary team alongside our data scientists to deploy and productionize ML powered solutions for our clients.

Key Responsibilities:

  • Implement MLOps to streamline model experimentation and ML tooling and workflows
  • Responsible for architecture, design, development, testing and operations and deliver incrementally in iterative cycles
  • Work in a multi-disciplinary team alongside our data scientists to deploy and productionize ML powered solutions for our clients
  • Take end-to-end ownership of your product in a modern DevOps culture
About You

We are looking for a candidate with experience as a data engineer in an agile DevOps environment using Java or Python.

You should have demonstrated proficiency using cloud technologies and integrating with ML services including GCP Vertex AI, DataRobot or AWS SageMaker in large and complex organisations.

Key Requirements:

  • Experience as a data engineer in an agile DevOps environment using Java or Python
  • Demonstrated proficiency using cloud technologies and integrating with ML services including GCP Vertex AI, DataRobot or AWS SageMaker in large and complex organisations
  • Experience across the full SDLC including design, build, test and supporting mission-critical production platforms
  • Hands on experience implementing MLOps best practices including CI/CD pipelines
  • Strong experience in SQL

If you are a motivated and experienced Machine Learning Platform Engineer looking for a new challenge, please apply with your resume.

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