MACHINE LEARNING ENGINEER

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. 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. The team will work with technologies including: 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 include, but are not limited to: 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.

Job Requirements and Qualifications:

A minimum of 12 years of work experience, with 1-3 years of experience working with ML frameworks TS/SCI with ability to obtain CI Polygraph after onboarding. 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:

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

Security Clearance Requirements:

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.

Other Requirements:

Must be a US citizen and be able to obtain and hold an active TS/SCI Clearance with CI Polygraph.