Geospatial AI Insights Analyst

Outline Global

Melbourne

Sur place

AUD 90 000 - 120 000

Plein temps

14 jours+

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Résumé du poste

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.

Responsabilités

  • 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.

Connaissances

Python
PyTorch
TensorFlow/Keras
Model evaluation
Data processing
Explainability to non-technical

Formation

Geospatial science or remote sensing or data science or computer science

Outils

QGIS
ArcGIS
GDAL
Rasterio
PDAL
WhiteboxTools
Global Mapper

Description du poste

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.

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