Geospatial AI Solutions Analyst

Gdbgeospatial; United States; On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Vision & dental coverage

Disability & life coverage

Tuition reimbursement

Retirement plans with company match

Cellphone stipend

Paid time off

Career development programs

Perks at Work access

Job summary

Surveying And Mapping, LLC (SAM) seeks a Geospatial Solutions Analyst to extract, classify, and analyze geospatial data using machine learning. You will design and evaluate models for lidar and aerial imagery, collaborating with analysts and software developers to translate requirements into scalable analytics pipelines.

The role emphasizes production-ready workflows, data validation, and continual model improvement across large geospatial datasets.

Qualifications

• Bachelor’s degree in GIS/Geography, Remote Sensing, Computer Science, Data Science, Engineering, or related field.
• Three to five years of professional experience involving machine learning, geospatial analysis, remote sensing, computer vision, or related discipline.
• Demonstrated experience developing and evaluating ML or DL models.
• Proficiency in Python and commonly used data science libraries.
• Experience with geospatial data including raster, vector, imagery, elevation, or point-cloud datasets.
• Understanding of supervised/unsupervised learning, model validation, feature engineering, data augmentation, and performance evaluation.
• Experience preparing and managing training, validation, and testing datasets.
• Strong understanding of coordinate systems and spatial data formats.

Responsibilities

• Design, develop, train, and evaluate machine learning and deep learning models for geospatial data analysis.
• Develop automated methods for feature extraction, classification, segmentation, object detection, and change detection.
• Work with lidar point clouds, aerial imagery, elevation models, and other raster and vector geospatial datasets.
• Prepare, organize, and validate training, testing, and reference datasets.
• Perform feature engineering and develop data-processing workflows that support model training and inference.
• Evaluate model accuracy, generalization, uncertainty, and production readiness using appropriate methods.
• Optimize models and inference workflows for large datasets and production-scale processing.
• Integrate machine learning models into repeatable geospatial production workflows and internal software systems.
• Research and evaluate emerging ML, computer vision, and geospatial AI technologies.
• Collaborate with subject-matter experts to understand operational requirements and opportunities for automation.
• Document model designs, datasets, assumptions, performance results, and implementation procedures.
• Support continued improvement, monitoring, and retraining of deployed models.

Skills

Python

Geospatial analysis

Machine learning

Deep learning

Computer vision

Lidar data

Point-cloud

Data visualization

Education

Bachelor's in GIS/Geography/CS

Master’s in ML/Geospatial

Tools

PyTorch

TensorFlow

scikit-learn

GDAL/PDAL

ArcGIS Pro

Job description

Surveying And Mapping, LLC (SAM) seeks a Geospatial Solutions Analyst to extract, classify, and analyze geospatial data using machine learning. You will design and evaluate models for lidar and aerial imagery, collaborating with analysts and software developers to translate requirements into scalable analytics pipelines.

The role emphasizes production-ready workflows, data validation, and continual model improvement across large geospatial datasets.