Mid-level Machine Learning Engineer Security Clearance

Position: Mid-level Machine Learning Engineer with Security Clearance
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.

The team will work with technologies including:
* Open source, commercial, and government software packages such as Docker, Python, Jupiter Notebooks, Postgre

SQL, and other tools.
* Leverage Git Ops patterns and CI/CD with tools like Git Lab and Git Hub. 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 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 / 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