JOBSEARCHER

Machine Learning Engineer

ARCHIVED

We can't find an active application page for this role right now. It may reopen or be listed elsewhere. Use Next Steps to search for an active apply link and similar live jobs.

Machine Learning EngineerJob Type: Full-Time (Hybrid set-up after 6 months) Location: Huntsville, AL Mandatory: Active TS/SCI clearance with ability to obtain a CI Polygraph after onboardingAbout the Role A growing defense-focused organization is seeking an experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This opportunity is ideal for someone who excels in highly secure environments and has experience taking machine learning solutions from concept through full-scale production deployment. The role focuses on large-scale data processing, machine learning deployment, and enterprise system integration for mission-critical initiatives. This position requires working onsite during the first 6 months to support onboarding, team integration, and project ramp-up. After the initial 6-month period, the role transitions to a hybrid schedule.Key ResponsibilitiesDesign, build, and integrate machine learning solutions into broader software systems and infrastructureConduct testing, experimentation, validation, and performance documentationWrite clean, scalable, and maintainable Python codeCollaborate with engineering teams to ensure machine learning solutions align with system architectureDevelop and optimize data pipelines that support machine learning workflowsConvert machine learning prototypes into scalable, production-ready applicationsCreate deployment pipelines for machine learning modelsMonitor model performance and resolve issues related to drift, failures, and rollback scenariosSupport CI/CD workflows and GitOps practicesWork across secure Linux and Windows environmentsTechnology EnvironmentPythonDockerJupyter NotebooksPostgreSQLGitLabGitHubSQL/NoSQL DatabasesLinuxWindowsRequired QualificationsBachelor's degree in Computer Science, Statistics, Mathematics, Physics, or another quantitative disciplineMinimum of 12 years of overall professional experience1-3 years of hands-on experience working with machine learning frameworksStrong Python programming experienceDeep understanding of machine learning frameworks, libraries, data structures, and data modelingExperience working with SQL and NoSQL databasesKnowledge of CI/CD pipelines and Agile development methodologiesStrong understanding of software design principles and system integrationPreferred QualificationsMaster's degree in a related field with 12 years of experience ORBachelor's degree in a related field with 17 years of experienceExperience working with petabyte-scale datasetsBackground supporting multi-source intelligence analyticsExperience deploying, monitoring, and scaling machine learning models in production environmentsKey Skills RequiredMachine Learning Model DeploymentPython DevelopmentData Pipeline EngineeringCI/CD ImplementationCloud & Container TechnologiesSystem IntegrationDatabase Management