Live opening · Posted 7 days ago
The key details from the original listing.
Live timing from JobBeeper.
Description supplied by the original job listing.
Senior Engineer - Geospatial
3-5 years
Job description:
Senior GeoAI GenAI Developer
Role Summary
Were seeking a forwardthinking developer to design and deploy GenAIdriven geospatial solutions This role emphasizes computervision cloudnative ML workflows multiagent systems and generative AI integration for geospatial intelligence
Core Responsibilities
Develop GenAIfirst applications for geospatial analytics leveraging LLMs and multiagent architectures
Build intelligent computer vision pipelines for imagery analysis feature extraction and spatial reasoning using AI agents or traditional computer vision techniques
Design and deploy cloudbased MLGenAI workflows for training and inference AWSAzure mandatory
Implement model trackingversioning with MLflow or similar tools
Automate geospatial workflows with Python and integrate generative capabilities for GIS tasks
Collaborate on agentic AI systems for dynamic geospatial decisionmaking
MustHave Skills
Programming Python Geospatial libraries GDAL Geopandas Rasterio shapely or ArcGIS API for Python
GenAI MultiAgent Systems LangChain Langgraph LlamaIndex RAG architectures
MLDL Computer vision with TensorFlow PyTorch and Scikitlearn
Cloud AWSAzure for model deployment and training
ML Ops MLflow or similar
Certifications At least one required
Esri Technical Certification eg ArcGIS API for Python Associate
Google Cloud Professional Machine Learning Engineer
Microsoft Certified Azure AI Engineer Associate
AWS Certified Machine Learning Specialty
NicetoHave
API frameworks FastAPIFlask Docker for containerized services
LiDARPoint Cloud processing for advanced spatial modeling
Portfolio showcasing GenAIdriven geospatial projects
Skills:
Mandatory Skills : GDAL, GeoPandas, QGIS, Rasterio
Work arrangement
Hybrid
Recently tracked roles with full details and direct application links.