Machine Learning Engineer TS/SCI

Position Overview
Our client is seeking - experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This position requires working onsite during the first 6 months to support onboarding, team integration, and project ramp-up. After the initial 6-month period, the role transitions to a hybrid schedule.
This opportunity is ideal for someone who excels in highly secure environments and has experience taking machine learning solutions from concept through full-scale production deployment. The role focuses on large-scale data processing, machine learning deployment, and enterprise system integration for mission-critical initiatives.

Key Responsibilities

• Design, build, and integrate machine learning solutions into broader software systems and infrastructure
• Develop and optimize data pipelines that support machine learning workflows
• Convert machine learning prototypes into scalable, production-ready applications
• Create deployment pipelines for machine learning models
• Monitor model performance and resolve issues related to drift, failures, and rollback scenarios
• Conduct testing, experimentation, validation, and performance documentation
• Write clean, scalable, and maintainable Python code
• Collaborate with engineering teams to ensure machine learning solutions align with system architecture
• Support CI/CD workflows and GitOps practices
• Work across secure Linux and Windows environments

Technology Environment

• Python
• Docker
• Jupyter Notebooks
• PostgreSQL
• GitLab
• GitHub
• SQL/NoSQL Databases
• Linux
• Windows

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 Python programming experience
• Deep understanding of machine learning frameworks, libraries, data structures, and data modeling
• Experience working with SQL and NoSQL databases
• Knowledge of CI/CD pipelines and Agile development methodologies
• Strong understanding of software design principles and system integration
• Active TS/SCI clearance with ability to obtain a CI Polygraph after onboarding
• Must be a U.S. Citizen

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 supporting 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