Senior GIS Developer

ALMETA

Website: almeta.de
Job details:
Job Description

We are seeking a highly skilled Senior GIS Developer with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced GIS tool development. The role involves designing intelligent geospatial systems, building AI-powered spatial analytics solutions, automating GIS workflows, and developing scalable enterprise GIS tools. The ideal candidate will bridge Geospatial Technologies and AI Engineering to deliver next-generation spatial intelligence solutions.

Key ResponsibilitiesAI-Driven GIS Solution Development

• Design and develop AI/ML models for geospatial data analysis.
• Build spatial prediction models (classification, object detection, segmentation).
• Implement computer vision techniques for Satellite, Aerial images, and LiDAR data.
• Develop deep learning pipelines for geospatial feature extraction.

GIS Tool & Application Development

• Develop custom GIS tools like Plugins, MDLs, SBM, LISP and automation scripts.
• Build scalable Web GIS applications and APIs.
• Develop geo-processing services and micro service architectures.
• Optimize geospatial algorithms for performance improvement and output scalability.

Technical Leadership

• Lead AI-GIS innovation initiatives.
• Mentor junior GIS and AI developers.
• Collaborate with Data Scientists, AI Engineers, and Product teams.
• Define technical standards and best practices.
• Document the tool requests and developments.

Educational Qualifications

Required:

• Bachelor’s or Master’s Degree in engineering discipline such as, GIS / Geo-informatics / Computer Science / Artificial Intelligence / Data Science, Information Technology / Civil / Electrical Electronics / Mechanical

Technical Skills & Software Requirements

• Core GIS Platforms: ArcGIS Pro / ArcGIS Enterprise, QGIS, MicroStation / SPATIX, AutoCAD
• Programming Languages: Python (NumPy, Pandas, GeoPandas, PyQT), JavaScript, C++, C# / .NET, Visual Basic, React.js
• Geospatial Python Libraries: GDAL, Rasterio, Shapely, ArcPy, PyQGIS
• Spatial Databases: PostgreSQL with PostGIS, MS SQL Server, Oracle Spatial
• Remote Sensing: Satellite imagery, LiDAR data, UAV imagery

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