What are the responsibilities and job description for the Machine Learning Engineer position at Smart IT Frame LLC?
Job Title: Machine Learning Engineer with Active TS/SCI clearance
Department: National Security
Location: Huntsville, Alabama NO HYBRID. 100% Onsite
Job type: Full time
Position Overview:
A growing defense-focused organization is seeking an experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This is an onsite role supporting mission-critical projects involving large-scale data processing, machine learning model deployment, and system integration.
This role is ideal for someone who thrives in highly secure environments and has experience taking machine learning solutions from concept through production deployment.
Key Responsibilities:
- Design and integrate machine learning systems with broader software platforms and infrastructure
- Build and optimize data pipelines that support machine learning workflows
- Transition machine learning prototypes into production-ready solutions
- Develop deployment pipelines for machine learning models
- Monitor model performance and address model drift, failures, and rollback scenarios
- Conduct testing, experimentation, and documentation of model performance
- Write clean, scalable, and maintainable code primarily in Python
- Collaborate with technical teams to ensure machine learning solutions align with overall architecture
- Support CI/CD workflows and GitOps practices
Technology Environment:
- Python
- Docker
- Jupyter Notebooks
- PostgreSQL
- GitLab
- GitHub
- SQL/NoSQL databases
- Linux and Windows environments
Required Qualifications:
- Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline
- Minimum of 12 years of overall professional experience
- 1-3 years of hands-on experience working with machine learning frameworks
- Strong programming experience in Python
- Deep understanding of machine learning frameworks, libraries, data structures, and data modeling
- Experience with SQL and NoSQL databases
- Knowledge of CI/CD pipelines and Agile development methodologies
- Understanding of software design principles and system integration
- Active TS/SCI clearance with ability to obtain a CI Polygraph after onboarding
Preferred Qualifications:
- Master's degree in a related field with 12 years of experience
- OR
- Bachelor's degree in a related field with 17 years of experience
- Experience working with petabyte-scale datasets
- Background in multi-source intelligence analytics
- Experience deploying, monitoring, and scaling machine learning models in production environments
Key Skills Required:
- Machine Learning Model Deployment
- Python Development
- Data Pipeline Engineering
- CI/CD Implementation
- Cloud/Container Technologies
- System Integration
- Database Management