Geospatial AI Insights Analyst

Outline Global; Melbourne; On-site; AUD 90,000 - 120,000; Full time

Job summary

Outline Global Pty Ltd seeks an Insights Analyst for its Melbourne office in Doncaster East, VIC. This full-time, permanent role reports to the Insights Team Leader and focuses on geospatial ML projects and data delivery.

You will train and evaluate ML models on imagery and LiDAR, automate workflows with Python, and collaborate with clients to deliver production-ready outputs while ensuring high-quality results.

Qualifications

• Degree in geospatial science, remote sensing, photogrammetry, data science or related field.
• 2+ years in production or technical role with imagery or ML.
• Proficiency in Python for data processing and automation.
• Hands-on experience with PyTorch and/or TensorFlow/Keras.
• Familiarity with geospatial models and GIS software.

Responsibilities

• Prepare and curate training datasets with labeling and quality control.
• Train, fine-tune and evaluate ML models on imagery and LiDAR data.
• Run experiments to improve model accuracy and deploy outputs to production.
• Digitise features from aerial imagery and LiDAR per client specs.
• Manage production tasks end to end from data prep to delivery.
• Perform QA and analyse accuracy against ground truth benchmarks.
• Develop Python scripts to automate ML workflows.
• Contribute to R&D by testing new models and tools.
• Provide technical guidance to Geospatial Data Technicians.
• Support client calls with outputs and data limitations explanations.

Skills

Python

PyTorch

TensorFlow/Keras

Model evaluation

Data processing

Explainability to non-technical

Education

Geospatial science or remote sensing or data science or computer science

Tools

QGIS

ArcGIS

GDAL

Rasterio

PDAL

WhiteboxTools

Global Mapper

Job description

Outline Global Pty Ltd seeks an Insights Analyst for its Melbourne office in Doncaster East, VIC. This full-time, permanent role reports to the Insights Team Leader and focuses on geospatial ML projects and data delivery.

You will train and evaluate ML models on imagery and LiDAR, automate workflows with Python, and collaborate with clients to deliver production-ready outputs while ensuring high-quality results.