GRIT is hiring on behalf of our client in the AEC sector for a skilled

Machine Learning Engineer

with strong Python expertise and experience delivering within larger, cross-functional teams. In this role, you’ll play a key part in designing, developing, and deploying ML models and AI-driven solutions on Azure, collaborating closely with BAs, developers, and data professionals to support innovation across the built environment.

What You’ll Do

Design, develop, and deploy machine learning models into production environments

Collaborate with analysts, engineers, and business stakeholders to transform prototypes into scalable solutions

Enhance MLOps pipelines and ensure performance, reliability, and accuracy

Leverage Azure ML, AI Search, OpenAI and cloud-based data services

Monitor, update and maintain ML models to ensure optimal performance

What you’ll bring

Commercial experience in machine learning and Python





Solid grasp of tools like scikit-learn, pandas, NumPy, matplotlib, Plotly

Experience working in production environments with Git and cloud (Azure preferred)

Proficiency in Python (using VSCode or PyCharm)

Strong problem-solving, time management, and communication skills

A degree in Computer Science, Data Science, Engineering or related field

Azure ML experience or certification highly desirable

Highly Desirable

Knowledge of MLOps (MLFlow, Optuna), REST APIs (FastAPI, Flask), and Linux

Experience with

PyTorch or TensorFlow

Familiarity with 3D geometry or IFC/IfcOpenShell

Additional information

Hybrid, Flexible work environment

Collaborate with a global team on innovative, high-impact projects

Chance to lead ML/AI development in a modern Azure cloud environment

📌 Machine Learning Engineer (Brisbane)
🏢 GRIT Talent Consulting
📍 Brisbane