MACHINE LEARNING ENGINEER

Ignite Now; Huntsville (AL); On-site; USD 100,000 - 130,000; Full time

Job summary

Ignite Now is looking for a driven Machine Learning Engineer to support the Missiles and Space Intelligence Center in Huntsville, AL. The role involves integrating ML systems, managing production pipelines, and monitoring model performance. Candidates must have at least 12 years of experience, programming skills in Python, and ability to obtain a TS/SCI clearance. Preferred qualifications include experience with large data sets and multi-INT analytics. This position is on-site.

Qualifications

• Minimum of 12 years of work experience, with 1-3 years in ML frameworks.
• TS/SCI clearance with ability to obtain CI Polygraph.
• Degree in Computer Science, Statistics, Mathematics, or Physics.
• Programming proficiency in Python and ML frameworks knowledge.

Responsibilities

• Integrate ML systems with other software components.
• Manage transition from prototype to production.
• Construct optimized data pipelines for ML models.
• Monitor model performance post-deployment.
• Write clean, testable, maintainable code.

Skills

Python

Machine Learning frameworks

SQL

NoSQL databases

CI/CD

Agile methodologies

Software design

System integration

Linux

Windows

Education

Master’s degree in a related field with 12 years of experience

Bachelor’s degree in a related field with 17 years of experience

Tools

Docker

Jupyter Notebooks

PostgreSQL

GitLab

GitHub

Job description

Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do.

Job Description

Ignite is currently seeking a driven, detail-oriented Machine Learning Engineer to join our team supporting the Missiles and Space Intelligence Center in Huntsville, AL. This position is expected to be on-site.

Technologies

• Open source, commercial, and government software packages such as Docker, Python, Jupyter Notebooks, PostgreSQL, and other tools.
• Leverage GitOps patterns and CI/CD with tools like GitLab and GitHub.

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.

Requirements and Qualifications

• A minimum of 12 years of work experience, with 1-3 years of experience working with ML frameworks.
• TS/SCI clearance with ability to obtain CI Polygraph after onboarding.
• Degree in Computer Science, Statistics, Mathematics, Physics or another quantitative field.
• 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

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

Security Clearance Requirements

• Must be a U.S. citizen and be able to obtain and hold an active TS/SCI clearance with CI Polygraph.

Education Requirements

• Master’s degree in a related field with 12 years of experience or a bachelor’s degree in a related field with 17 years of experience.

EEO Statement

We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.

Accommodation Request

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