The GIS Analyst - GeoAI role involves supporting the various Stantec offices globally on projects that require bridging the gap between complex Remote Sensing (RS) analysis and scalable Machine Learning (ML) solutions, ensuring our global offices stay at the cutting edge of spatial intelligence.

Key Accountabilities:
Lead the end-to-end delivery of high-complexity Remote Sensing and GeoAI projects, ensuring technical excellence and timely outcomes.
Perform advanced image analysis including land cover classification, feature extraction, and change detection.
Apply advanced expertise in eCognition for Object-Based Image Analysis (OBIA).
Develop robust rule sets and segmentation workflows for high-resolution satellite and drone imagery.
Ensure all deliverables meet established technical QA/QC standards prior to submission.
ESRI GeoAI Ecosystem: Architect, train, and operationalize GeoAI models using ArcGIS Pro, ArcGIS Notebooks, and ArcGIS Image Analyst, serving as the internal authority on ESRI pre-trained models and deep learning frameworks.
Custom AI/ML Development: Design, build, train,



and deploy custom machine learning and deep learning models using Python-based frameworks (PyTorch, TensorFlow), selecting the most appropriate technology stack based on project requirements and aligned to Stantec s security policies.
Work with multi source geospatial datasets including satellite, drone, LiDAR, and SAR data.
Function as the GeoAI Subject Matter Expert (SME) to support cutting-edge initiatives and identify new business opportunities across global offices.
Develop technical proposals, conduct feasibility assessments, and present GeoAI proof-of-concepts to international clients and internal leadership teams.
Standardize and continuously improve GeoAI workflows to enhance efficiency, scalability, and consistency across the global delivery team.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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