Job Purpose:
We are looking for a skilled AI Engineer specializing in geospatial data integration to join our innovative team. In this role, you will design, develop, and deploy artificial intelligence solutions to process, analyze, and integrate geospatial data. You will work with cutting-edge tools, machine learning models, and geospatial technologies to deliver high-quality, data-driven insights for a variety of projects worldwide.
Tasks and Responsibilities:
AI-Driven Data Integration:
- Develop and implement AI models and algorithms to process and integrate diverse geospatial datasets, including drone imagery, satellite data, and sensor outputs.
Geospatial Analysis:
- Apply advanced machine learning techniques (e.g., deep learning, computer vision) to analyze geospatial data and extract meaningful patterns and insights.
Data Processing and Preprocessing:
- Process raw geospatial data (e.g., orthomosaics, point clouds) using photogrammetry tools (e.g., Pix4D, Agisoft Metashape) and prepare datasets for AI model training and validation.
Geospatial Data Management:
- Organize, catalog, and maintain a structured repository of geospatial data to support efficient data workflows and integration.
Model Development and Optimization:
- Train and optimize AI models for tasks such as object detection, image classification, segmentation, and predictive modeling specific to geospatial applications.
Tool and API Development:
- Design and develop AI-powered tools, APIs, and workflows to support geospatial data integration across various projects.
Collaboration:
- Work closely with cross-functional teams, including GIS specialists, software developers, and project managers, to understand project goals and deliver high-quality solutions.
Visualization and Reporting:
- Generate interactive maps, dashboards, and data visualizations to present AI-driven insights in an intuitive and actionable format.
Research and Innovation:
- Stay updated on emerging trends and technologies in AI, GIS, and remote sensing to integrate new methods and tools into projects.
Professional Development:
- Participate in training and development opportunities to expand skills and keep pace with advancements in AI and geospatial technologies.
Education and Professional Qualifications:
- Bachelor’s degree in Computer Science, Data Science, AI, GIS, or a related field (Master’s degree preferred).
- Proficiency in geospatial tools and software (e.g., ArcGIS, QGIS, Pix4D, Agisoft Metashape).
- Hands-on experience in processing and analyzing geospatial datasets, including drone and satellite imagery.
