Machine Learning Engineer with Security Clearance

Astrion; Huntsville (AL); On-site; USD 110,000 - 150,000; Full time

Job summary

Astrion seeks a Machine Learning Engineer to join our analytics team in Huntsville, Alabama, delivering automation for national security missions with petabyte-scale data on supercomputing resources. You will work on AI/ML model development and deployment using Python, SQL databases, and CLI tools.

The role emphasizes transitioning prototypes to production, building robust data pipelines, and monitoring model performance in a fast-paced government-focused environment.

Qualifications

• TS/SCI with CI Polygraph.
• Degree in Computer Science, Statistics, Mathematics, Physics or another quantitative field.
• 1-3 years of experience working with ML frameworks.
• Programming proficiency in Python and extensive knowledge of ML frameworks, libraries data structures, and data modeling.
• Solid understanding of the full ML development lifecycle.
• Experience working with SQL and NoSQL databases.
• Experience with both Linux and Windows operating systems.
• Knowledge of CI/CD and Agile methodologies.
• Understanding of software design and system integration.

Responsibilities

• Integrate ML systems with other software components, ensuring that machine learning pipelines work within the overall product architecture.
• Manage the transition from prototype to production, including setting up model deployment pipelines and monitoring solutions.
• Construct optimized data pipelines to feed ML models; run tests and experiments and document findings.
• Monitor model performance post-deployment including managing model drift, rollback, and failure scenarios.
• Write clean, testable, maintainable code in Python and other languages.

Skills

Python programming

ML frameworks

ML development lifecycle

SQL and NoSQL databases

Linux and Windows

CI/CD

Agile methodologies

software design and system integration

Education

Degree in Computer Science, Statistics, Mathematics, Physics or another quantitative field

Tools

Docker

Python

Jupyter Notebooks

PostgreSQL

GitLab

GitHub

Job description

Overview: Machine Learning Engineer JOB LOCATION: Huntsville, Al JOB STATUS: Full-time CLEARANCE: TS/SCI w CI/Poly TRAVEL: As needed Astrion seeking a Machine Learning Engineer to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources. The ideal candidate will have a background in AI/ML model development and deployment and have experience in Python programming, handling SQL databases, and working in command line interfaces.

Technologies & Tools

• Open source, commercial, and government software packages such as Docker, Python, Jupiter Notebooks, PostgreSQL, and other tools.
• Leverage GitOps patterns and CI/CD with tools like GitLab and GitHub.

Work Environment

• Working conditions are normal for an office environment.
• Fast paced, deadline-oriented environment.
• May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).

Required Qualifications / Skills

• TS/SCI with CI Polygraph
• Degree in Computer Science, Statistics, Mathematics, Physics or another quantitative field.
• 1-3 years of experience working with ML frameworks
• Programming proficiency in Python and extensive knowledge of ML frameworks, libraries data structures, and data modeling.
• Solid understanding of the full ML development lifecycle.
• Experience working with SQL and NoSQL databases.
• Experience with both Linux and Windows operating systems.
• Knowledge of CI/CD and Agile methodologies.
• Understanding of software design and system integration.

Preferred Qualifications / Skills

• Experience with petabyte scale data sets
• Experience with multi-INT analytics
• Experience deploying, monitoring, and scaling models in production environments

Responsibilities

• Integrate ML systems with other software components, ensuring that machine learning pipelines work within the overall product architecture.
• Manage the transition from prototype to production, including setting up model deployment pipelines and monitoring solutions.
• Construct optimized data pipelines to feed ML models; run tests and experiments and document findings.
• Monitor model performance post-deployment including managing model drift, rollback, and failure scenarios.
• Write clean, testable, maintainable code in Python and other languages. #CJ