Mid-level Machine Learning Engineer

Astrion • Huntsville, AL

22h • Onsite

About The Position

Astrion is seeking a Machine Learning Engineer to join our analytics team. This role will work on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. The position is 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, with experience in Python programming, handling SQL databases, and working in command line interfaces. The team will utilize technologies such as open-source, commercial, and government software packages like Docker, Python, Jupiter Notebooks, PostgreSQL, and other tools. They will also leverage GitOps patterns and CI/CD with tools like GitLab and GitHub.

Requirements

• 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.

Nice To Haves

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level