Machine Learning Engineer Security Clearance

Position: Machine Learning Engineer with Security Clearance
We are currently seeking a driven, detail-oriented Machine Learning Engineer to join our team supporting the Missiles and Space Intelligence Center in Huntsville, AL. This position is expected to be on-site. The team will work with technologies including:

· Open source, commercial, and government software packages such as Docker, Python, Jupyter Notebooks, Postgre

SQL, and other tools.

· Leverage Git Ops patterns and CI/CD with tools like Git Lab and Git Hub. Responsibilities include, but are not limited to:

· 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.

Job Requirements and

Qualifications:

A minimum of 12 years of work experience, with 1-3 years of experience working with ML frameworks

· TS/SCI with ability to obtain CI Polygraph after onboarding.

· 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 No

SQL 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:

· Experience with petabyte scale data sets

· Experience with multi-INT analytics

· Experience deploying, monitoring, and scaling models in production environments