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MLE/SMLE Template

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MLE/SMLE Template in Australia new

  • Faculty
  • Full time
  • Email
  • Sydney

Responsibilities

  • Build and deploy production-grade machine learning software, tools, and infrastructure.
  • Create reusable and scalable solutions that accelerate delivery of ML systems.
  • Collaborate with engineers, data scientists, and commercial leads to solve client challenges.
  • Lead technical scoping and architectural decisions for project feasibility and impact.
  • Define and implement standards for deploying machine learning at scale.
  • Act as a technical advisor to customers and partners and explain complex ML concepts to stakeholders.

Requirements

  • Understand the full machine learning lifecycle and have experience operationalizing models built with Scikit-learn, TensorFlow, or PyTorch.
  • Demonstrate strong Python skills and solid software engineering best practices.
  • Have hands-on experience with cloud platforms and infrastructure such as AWS, Azure, or GCP, including architecture and security.
  • Have experience using Docker and Kubernetes to build and manage applications at scale.
  • Understand probability, statistics, and common machine learning techniques.
  • Communicate effectively with technical teams and non-technical stakeholders.
  • Be comfortable owning scope and delivering solutions in a fast-paced environment.

Benefits

  • The company is open to conversations about part-time hours.
  • Applications are encouraged from candidates of all backgrounds, and every application is reviewed by a human.
  • Interview candidates may opt out of the Metaview AI note-taker.

Faculty

Faculty empowers professionals to advance their careers through tailored learning experiences and expert mentorship. Our platform connects learners with industry leaders, fostering knowledge exchange and skill development in a collaborative environment. By blending innovative curriculum design wi...

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