Machine Learning Engineer

ASTRION, INC.

Huntsville, AL, United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

1 year minimum

Working hours

Shift work

Job source

www.juju.com

Tech stack

Clean Code Principles Microsoft Windows Agile Methodology Artificial Intelligence Command-Line Interface Computer Programming Continuous Integration Data Files Data Structures Linux Github Python (Programming Language)

+15 more

PostgreSQL Machine Learning NoSQL Open Source Technology Tensorflow Standard Sql Software Engineering SQL Databases Systems Integration Enterprise Software Applications Gitlab Information Technology Machine Learning Operations Data Pipelines Docker

Job description

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, 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)., * 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.

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