Machine Learning Platform Engineer


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Join a federal government agency responsible for enhancing Australia’s cyber defences, dedicated to safeguarding the nation against global threats and advancing national interests. We are currently seeking a highly skilled Machine Learning Platform Engineer to play a pivotal role in building and maintaining the agency’s Machine Learning Operations Platform.

Key Responsibilities:

  • Contribute to the design, development, deployment, and maintenance of clients MLOps platforms and infrastructure.
  • Contribute to the design, development, and integration of secure, robust, and performant production ML systems.
  • Provide guidance to MLOps engineers, software developers, and data scientists on MLOps processes, platforms, and systems.
  • Develop and enhance DevSecOps and MLOps pipelines.

Key Qualifications and Experience:

  • Strong background in Machine Learning, software engineering, or DevOps.
  • Experience with Machine Learning production platforms in large organizations.
  • Proficiency in MLOps tooling such as MLFlow, KubeFlow, Seldon, Kserve, Docker, Kubernetes, and Git.
  • Understanding of machine learning concepts and algorithms.
  • Expertise in data engineering and data wrangling.
  • Knowledge of software engineering principles and best practices.
  • Exceptional problem-solving and troubleshooting skills.

Desired Skills:
The ideal candidate should possess experience spanning the entire MLOps lifecycle, encompassing registration, deployment, and monitoring of operational capabilities. The role involves delivering essential platforms and integrations to offer self-service capabilities to Data Scientists. This includes enabling continuous integration, continuous deployment, continuous training, and continuous monitoring.

How to Apply:

If you are passionate about advancing technology in a mission-critical environment and possess the required skills and experience, we encourage you to apply. Please submit your resume and a cover letter detailing your relevant qualifications and experiences to