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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # nGeospatial Solution Analyst - **Company:** Surveying - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, ArcGIS (Software), Computer Vision, Big Data, Cloud Computing, Python (Programming Language), PostgreSQL, Machine Learning, Object Detection, PostGIS, Tensorflow, Spatial Data Infrastructures, SQL Databases, Feature Engineering, Pytorch, Deep Learning, Model Validation, Convolutional Neural Networks, Keras, Git, Scikit Learn, Information Technology, Geospatial Data Abstraction Library (GDAL), Machine Learning Operations, Feature Extraction, Lidar, GPT, Software Version Control, Raster Graphics, Unsupervised Learning - **Published:** August 10, 2026 - **Apply:** https://jobs.military.com/career/304319/geospatial-solution-analyst-machine-learning-texas-tx-austin ## About the Role * Bachelor's degree in Geographic Information Science, Geography, Remote Sensing, Computer Science, Data Science, Engineering, or a related field \n * Three to five years of professional experience involving machine learning, geospatial analysis, remote sensing, computer vision, or a related technical discipline \n * Demonstrated experience developing and evaluating machine learning or deep learning models \n * Proficiency in Python and commonly used data science and machine learning libraries \n * Experience working with geospatial data, including raster, vector, imagery, elevation, or point-cloud datasets \n * Understanding of supervised and unsupervised learning, model validation, feature engineering, data augmentation, and performance evaluation \n * Experience preparing and managing training, validation, and testing datasets \n * Strong understanding of coordinate systems, spatial data formats, data quality, and geospatial analysis concepts \n * Ability to interpret model results spatially and communicate findings to technical and nontechnical stakeholders \n * Familiarity with version control systems such as Git \n * Strong analytical, problem-solving, documentation, and communication skills Preferred Skills \n * Experience applying machine learning or deep learning to lidar, aerial imagery, satellite imagery, or other remotely sensed data \n * Experience with point-cloud classification, image segmentation, object detection, feature extraction, or change detection \n * Experience with machine learning frameworks such as PyTorch, TensorFlow, Keras, or scikit-learn \n * Familiarity with geospatial libraries and platforms such as GDAL, PDAL, Rasterio, GeoPandas, ArcGIS Pro, ArcPy, or similar technologies \n * Experience working with convolutional neural networks, transformer-based models, multimodal models, or other modern computer vision architectures \n * Experience processing large datasets using parallel, distributed, cloud, or GPU-accelerated computing \n * Experience deploying models into operational or production environments \n * Familiarity with MLOps practices, including experiment tracking, model versioning, reproducibility, monitoring, and retraining \n * Experience with PostgreSQL, PostGIS, SQL, or other spatial data-management technologies \n * Graduate-level education or research experience in machine learning, remote sensing, computer vision, geomatics, or a related discipline \n * Experience working in a consulting, engineering, surveying, mapping, or geospatial production environment \n ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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