Machine Learning Engineer 727
Freedom Technology Solutions Group
Salary undisclosed
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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
- 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
About this role
Freedom Technology Solutions Group is hiring a Machine Learning Engineer to build and operate AI systems for government geospatial and intelligence work in a secure, production environment. This role sits at the intersection of data science and software engineering—you'll move models from research into reliable, scalable pipelines deployed on AWS, then monitor and optimize them in the field. The work spans computer vision, NLP, and geospatial AI, with hands-on responsibility for feature engineering, MLOps automation, model performance tuning, and API development.
You'll need an active TS/SCI clearance (eligible for CI Poly) and 1–12+ years in software development, system integration, or technical support. The core expectation is strong technical depth in Python and ML frameworks like PyTorch or TensorFlow, plus real experience deploying production systems. Equally important is the ability to gather requirements, communicate across technical and non-technical teams, and work in a dynamic, mission-focused environment. Geospatial experience, AWS AI services, satellite imagery processing, and familiarity with secure data environments are highly valued.
This is an in-office, contract position in St. Louis. Freedom offers competitive pay, full medical coverage, 401k matching, paid training, and a collaborative team environment—along with the chance to work on cutting-edge technology in a government mission context.
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