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)