About this opportunity
Freedom Technology Solutions Group lists this Machine Learning Engineer 727 opportunity in st. louis, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimizeproduction AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at theintersection of software engineering, cloud architecture, and data science to build scalable machine learningpipelines 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
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
MLflow
Docker/Podman
ECS
Lambda
SageMaker
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 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+
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
What’s in It for You?
Flexible work environment
A team mentality – work with friendly, like-minded professionals
Work with innovative, cutting edge technologies
Enjoy extremely competitive compensation and benefits
A work-life balance you can count on
Opportunities to grow and advance your career on our dime
The Benefits You Get with Freedom
Amazing benefits including matching 401k, fully paid medical, and more
Generous paid time off – including paid site closure days
Competitive salary offerings
Paid training and tuition reimbursement
Fully paid life and disability
Company sponsored events (game nights, holiday party, summer party, happy hours)
As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status
Accessibility: If you need an accommodation as part of the employment process, please contact Human Resources at
Phone:
Equal Opportunity Employer, including disabled and veterans.
If you want to view the EEO Law Supplement poster, please choose your language: English - Spanish - Chinese
If you want to view the Pay Transparency Policy Statement, please click the link: English
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Worksite address
st. louis, MO, 63146, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.