Jobs · Information Technology · Alabama

Mid-level Machine Learning Engineer with Security Clearance

Astrion · Huntsville, AL · 1 mo ago
Information TechnologyFull-time

Overview

Astrion is seeking a Machine Learning Engineer to join their analytics team in Huntsville, AL. The role involves developing and deploying automation for key national security missions using cutting-edge technologies.

About the role

The position requires expertise in AI/ML model development and deployment, Python programming, and working with SQL and NoSQL databases. The team uses various tools and technologies including Docker, Python, Jupiter Notebooks, PostgreSQL, GitOps patterns, and CI/CD tools like GitLab and GitHub.

Responsibilities

  • Integrate ML systems with other software components, ensuring they fit within the product architecture.
  • Manage the transition from prototypes to production, setting up model deployment pipelines and monitoring solutions.
  • Construct optimized data pipelines to feed ML models, running tests and experiments and documenting findings.
  • Maintain model performance post-deployment, managing model drift, rollback, and failure scenarios.
  • Write clean, testable, and maintainable code in Python and other languages.

Requirements

  • TS/SCI clearance with CI Polygraph
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or a related 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 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

Qualifications

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

Skills

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

Benefits

Not specified

Pay

Not specified

Schedule

Not specified

Benefits

Not specified

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