Machine Learning Engineer — Build Production-Grade AI at Scale

Faculty; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Faculty is seeking a Machine Learning Engineer to deliver bespoke, impactful AI solutions for diverse clients. You will bring machine learning from lab to real-world production, contributing to scalable software architecture and defining best practices.

You will work with clients and cross-functional teams to ensure feasibility and timely delivery of high-quality ML systems. You will collaborate with engineers, data scientists, and commercial leads to solve critical client challenges, lead

Qualifications

• Experience with the full ML lifecycle and deploying models to production.
• Proficiency in Python and software engineering best practices.
• Hands-on with cloud platforms (AWS/Azure/GCP) and container orchestration.
• Familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch).

Responsibilities

• Build and deploy production-grade ML software, tools, and infrastructure.
• Create reusable, scalable ML solutions to accelerate delivery.
• Collaborate with engineers, data scientists, and commercial leads.
• Lead technical scoping and architectural decisions for feasibility and impact.
• Define and implement deploying ML at scale standards.
• Translate complex ML concepts for stakeholders as a technical advisor.

Skills

Python

ML lifecycle

Scikit-learn

TensorFlow

PyTorch

Docker

Kubernetes

AWS

Azure

GCP

Cloud security

Communication

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Faculty is seeking a Machine Learning Engineer to deliver bespoke, impactful AI solutions for diverse clients. You will bring machine learning from lab to real-world production, contributing to scalable software architecture and defining best practices.

You will work with clients and cross-functional teams to ensure feasibility and timely delivery of high-quality ML systems. You will collaborate with engineers, data scientists, and commercial leads to solve critical client challenges, lead