
AI Geospatial Innovation Lead
13 hours ago
Job Overview
This role oversees the development and implementation of AI solutions related to temporal data analysis and geospatial analytics.
- Key Responsibilities:
- Develop AI projects focusing on temporal data analytics, geospatial analytics, and processing/analyzing satellite, drone, and LiDAR imagery.
- Lead the development of models for object detection, image segmentation, classification, and change detection in spatial data.
- Collaborate with GIS, remote sensing, and engineering teams to understand data pipelines and build AI integration pipelines and points.
- Design and deploy deep learning models tailored to geospatial data requirements.
- Implement preprocessing and normalization pipelines for varied image resolutions and sensor types.
- Engage in end-to-end MLOps workflows for continuous integration, deployment, and monitoring of AI models.
- Explore annotation strategies and data labeling techniques for geospatial datasets.
- Stay updated on emerging trends in remote sensing AI, edge AI for drones, and LiDAR analytics.
Requirements
- Strong background in AI, machine learning, and geospatial analysis.
- Proficiency in programming languages such as Python or R.
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Knowledge of GIS software and remote sensing tools.
- Excellent problem-solving skills and ability to work independently.
Benefits
- Opportunity to work on cutting-edge AI projects.
- Collaborative team environment.
- Professional growth and development opportunities.
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