Applied Geospatial ML Engineer

Vantor seeks an Applied Geospatial ML Engineer to join our Data Science & AI team in the Defense & Aerospace sector. You will design, build, and deploy machine learning and deep learning models on large-scale geospatial and remote sensing data to support mission-critical decisions. Partnering with cross-functional teams, you'll develop secure, scalable solutions on cloud and on prem platforms. Vantor, Inc. delivers AI-driven IT services that power digital transformation, supported by a culture of innovation, diversity, and continuous learning that empowers you to lead our next wave of AI capabilities.

Responsibilities

• Design and implement geospatial ML models for defense and aerospace use cases

• Process, analyze, and fuse large-scale remote sensing and geospatial datasets

• Collaborate with data scientists, engineers, and domain experts to translate mission needs into AI solutions

• Deploy, monitor, and optimize ML models in secure cloud and on-prem environments

• Ensure model robustness, explainability, and compliance with defense standards

• Mentor junior team members and contribute to AI/ML best practices Required Skills

• Python

• Geospatial data processing (GDAL, Geo

• Pandas)

• Machine learning (supervised & unsupervised)

• Deep learning (CNNs, transformers)

• GIS tools (Arc

• GIS, QGIS)

• Cloud platforms (AWS, Azure, or GCP)

• MLOps and model deployment

• Remote sensing and imagery analysis

• Data pipelines and ETLVersion control (Git)