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
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 FreedomAmazing 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
Referral bonuses
Fully paid life and disability
Annual logo wear allowance
Company sponsored events (game nights, holiday party, summer party, happy hours)
Interested in learning more about Freedom and our culture? Contact us today! We're constantly hosting hiring events in our office and elsewhere, to help you get a sense of what life is like at Freedom before joining the team.
