Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence ...
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence ...
Machine Learning Engineer 727
Saint Louis, MO · On-site
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and ... Support computer vision, NLP, and geospatial AI initiatives * Collaborate with architects, data ...
Machine Learning Engineer 727
Saint Louis, MO · On-site
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and ... Support computer vision, NLP, and geospatial AI initiatives * Collaborate with architects, data ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ...
Machine Learning Geospatial information
What does a Machine Learning Geospatial professional do?
A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.
What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?
Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.
What is the difference between Machine Learning Geospatial vs GIS Analyst?
| Aspect | Machine Learning Geospatial | GIS Analyst |
|---|---|---|
| Required Credentials | Bachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial data | Bachelor's in Geography, GIS, or related fields; proficiency in GIS software |
| Work Environment | Tech companies, data science teams, research institutions | Government agencies, urban planning, environmental firms |
| Industry Usage | Data-driven geospatial analysis, predictive modeling, AI applications | Mapping, spatial data management, spatial analysis |
Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.
What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial professional?
To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.
What are popular job titles related to Machine Learning Geospatial jobs in Missouri? For Machine Learning Geospatial jobs in Missouri, the most frequently searched job titles are:
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Full-time
Posted 20 days ago
Job description
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.
This is a hands-on engineering position focused on moving models from research into reliable production systems.
Responsibilities:
- Da
- Design, train, validate, and deploy machine learning models
- Build production inference pipelines
- Develop feature engineering workflows
- Optimize model performance and resource utilization
- Implement MLOps pipelines supporting continuous integration and deployment
- Build scalable APIs exposing AI capabilities
- Monitor model drift and operational performance
- Collaborate with Data Scientists and Software Engineers
- Deploy AI workloads into AWS cloud environments
- Support computer vision, NLP, and geospatial AI initiatives
- Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
- Assist in implementing integration solutions in collaboration with development team members
- Facilitate communication between stakeholders to ensure timely and effective requirements execution
- Ensure activities align with established processes, standards, and mission objectives
- Contribute to documentation of processes, procedures, integration patterns, and lessons learned
Key Technologies
- Â A
- Python
- PyTorch
- TensorFlow
- Scikit-learn
- Hugging Face
- MLflow
- Docker/Podman
- Kubernetes/EKS
- ECS
- Lambda
- SageMaker
- GitLab CI/CD
- Linux
- PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
- Redis, Elasticache
- GDAL, Rasterio, OGR
Required Qualifications
- Active TS/SCI clearance (eligible for CI Poly)
- 1-3(Junior), 3-7(Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
- Experience working directly with customers or stakeholders in a technical or mission environment
- Strong communication and coordination skills across technical and non-technical teams
- Experience gathering and documenting requirements
- Ability to manage multiple tasks and priorities in a dynamic environment
- Familiarity with Agile development practices
- Experience using GitLab or similar tools for collaboration and tracking
Desired Qualifications
- Experience deploying production AI systems
- Experience with computer vision
- Experience with large language models
- Geospatial AI experience
- AWS AI services
- Experience processing satellite imagery
- Familiarity secure data movement environments
- Experience working with enterprise service processes such as Service+
- Development or scripting experience (Python, JavaScript, or similar)
- Geospatial/GIS development a plus
- Experience with data mapping or integration workflows (using JSON or other object notation)
- Familiarity with operational dashboards and metrics reporting
- Experience supporting customer requirement implementation and/or system integration efforts