Azure ML Engineer — Hybrid, Production AI Innovator

GRIT Talent Consulting; Brisbane; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work environment

Global collaboration

Job summary

GRIT Talent Consulting is seeking a Machine Learning Engineer for a client in the AEC sector. You will design, develop, and deploy ML models on Azure, collaborating with BAs, developers and data professionals to support innovation across the built environment.

We value production ML experience, Python expertise, and strong problem-solving and communication skills. The role is hybrid, based in Brisbane, with opportunities to lead ML/AI work in a modern cloud environment using PyTorch, TensorFlow

Qualifications

• Requires degree in Computer Science, Data Science, Engineering or related field.
• Proficient in Python and ML libraries.
• Experience with production ML in Azure preferred.

Responsibilities

• Design, develop, and deploy ML models into production.
• Collaborate with analysts, engineers, and business stakeholders to transform prototypes into scalable solutions.
• Enhance MLOps pipelines for reliability, performance, and accuracy.
• Leverage Azure ML, AI Search, OpenAI and cloud-based data services.
• Monitor, update and maintain ML models for optimal performance.

Skills

Python

scikit-learn

pandas

NumPy

Plotly

Communication

Problem solving

Python IDEs

OpenAI

Git

Education

Bachelor's degree in Computer Science / Data Science / Engineering

Tools

Azure

Git

PyTorch

TensorFlow

OpenAI

FastAPI

Linux

REST APIs

VSCode

Job description

GRIT Talent Consulting is seeking a Machine Learning Engineer for a client in the AEC sector. You will design, develop, and deploy ML models on Azure, collaborating with BAs, developers and data professionals to support innovation across the built environment.

We value production ML experience, Python expertise, and strong problem-solving and communication skills. The role is hybrid, based in Brisbane, with opportunities to lead ML/AI work in a modern cloud environment using PyTorch, TensorFlow