Senior ML Engineer: Lead Production-Grade AI Systems

Faculty; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

Faculty in Sydney is seeking a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI systems for diverse clients. You’ll design, build, and deploy scalable, production-grade ML software and infrastructure that meet rigorous operational and ethical standards.

This cross-functional role blends technical leadership with client-facing skills, requiring ownership and the ability to translating complex concepts into actionable strategies.

Qualifications

• Understand the full ML lifecycle and have significant experience operationalising models using TensorFlow or PyTorch.
• Strong Python software engineering skills and ability to build robust, reusable systems.
• Experience with cloud platforms (AWS/Azure/GCP), including architecture, security and infrastructure.
• Hands-on experience with Docker and Kubernetes to build and manage scalable applications.
• Thrives in fast-paced environments with ownership and autonomous project delivery.
• Excellent communication, guiding both technical teams and senior non-technical stakeholders.

Responsibilities

• Lead development and deployment of scalable, production-grade ML systems for diverse clients.
• Design and deploy production-grade ML software, tools, and scalable infrastructure.
• Define and implement best practices for deploying ML at scale across the business.
• Collaborate with engineers, data scientists, product managers, and commercial teams.
• Act as a trusted technical advisor to customers and partners, translating concepts into actions.
• Mentor and develop junior engineers and shape engineering culture.

Skills

Python programming

TensorFlow

PyTorch

ML lifecycle

Technical leadership

Client-facing communication

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Faculty in Sydney is seeking a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI systems for diverse clients. You’ll design, build, and deploy scalable, production-grade ML software and infrastructure that meet rigorous operational and ethical standards.

This cross-functional role blends technical leadership with client-facing skills, requiring ownership and the ability to translating complex concepts into actionable strategies.