Machine Learning Engineer

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