ML Engineer — Production ML & Data Pipelines

Astrion; Huntsville (AL); On-site; USD 110,000 - 150,000; Full time

Job summary

Astrion seeks a Machine Learning Engineer to join our analytics team on an MLOps workload for a government customer in Huntsville, AL. You will develop and deploy AI/ML models, build data pipelines, and ensure production readiness.

The role requires TS/SCI with CI Poly, 1–3 years of ML experience, Python proficiency, and strong knowledge of databases. You’ll work with Docker, GitLab/GitHub CI/CD, and open-source tools in a Linux/Windows environment.

Qualifications

• 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.

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.

Skills

Python

ML frameworks

CI/CD practices

SQL/NoSQL databases

Operating Systems (Linux/Windows)

Education

Bachelor's degree in Computer Science/Statistics/Math/Physics

Tools

Docker

PostgreSQL

Jupyter Notebooks

Job description

Astrion seeks a Machine Learning Engineer to join our analytics team on an MLOps workload for a government customer in Huntsville, AL. You will develop and deploy AI/ML models, build data pipelines, and ensure production readiness.

The role requires TS/SCI with CI Poly, 1–3 years of ML experience, Python proficiency, and strong knowledge of databases. You’ll work with Docker, GitLab/GitHub CI/CD, and open-source tools in a Linux/Windows environment.