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Senior Machine Learning Engineer

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Senior Machine Learning Engineer in Australia new

  • Faculty
  • Full time
  • Email
  • Sydney

Responsibilities

  • Lead technical scoping and architectural decisions for high-impact machine learning systems.
  • Design and build production-grade ML software, tools, and scalable infrastructure.
  • Define and implement standards and best practices for deploying machine learning at scale.
  • Collaborate with engineers, data scientists, product managers, and commercial teams on client challenges and opportunities.
  • Act as a technical advisor to customers and partners, translating complex concepts into actionable strategies.
  • Mentor junior engineers and shape the team’s engineering culture and technical depth.

Requirements

  • Significant experience with the full machine learning lifecycle and operationalizing models built with TensorFlow or PyTorch.
  • Deep software engineering expertise and strong Python skills focused on robust, reusable systems.
  • Hands-on experience architecting and securing infrastructure on AWS, Azure, or GCP.
  • Extensive experience with Docker and Kubernetes for building and managing applications at scale.
  • Ability to take ownership and drive projects to completion in fast-paced, high-growth environments.
  • Exceptional communication skills with the ability to guide technical teams and senior non-technical stakeholders.

Benefits

  • The company is open to conversations about part-time hours.
  • The interview process includes a talent team screen, pair programming interview, system design interview, and commercial interview.

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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