Mid-level Machine Learning Engineer

Astrion; Huntsville (AL); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Astrion seeks a Machine Learning Engineer to join our analytics team on a government project in Huntsville, AL. You will work on an innovative MLOps workload, handling petabyte-scale data on supercomputing resources and delivering automation for national security missions.

The ideal candidate has AI/ML model development experience, Python expertise, and familiarity with SQL/NoSQL databases, Linux and Windows, plus CI/CD and Agile practices.

Qualifications

• Degree in CS or quantitative field required.
• 1-3 years of ML experience and Python programming.
• Experience with SQL/NoSQL databases and Linux/Windows.

Responsibilities

• Integrate ML systems with other software components.
• Develop and deploy production ML pipelines and monitoring.
• Build optimized data pipelines for ML models and run experiments.

Skills

Python

ML frameworks

CI/CD

Agile

Education

Computer Science or quantitative field

Statistics or Mathematics or Physics

Tools

Docker

Jupiter Notebooks

PostgreSQL

GitLab

GitHub

Job description

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, 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).

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 NoSQL 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.