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Machine Learning Engineer

Alexandria, VA, us💼 Full-time🗓 2026-04-08 → 2026-09-26

Core

Develop and deploy machine learning models for workforce analytics and human capital solutions to enhance data-driven decision-making and operational efficiency in federal agencies.

Role type

Mid-level Machine Learning Engineer (Workforce Analytics)

Builds

Production ML models for HR technology ecosystems and enterprise-wide decision-making capabilities

Domain

Government and Public Services / Human Capital Analytics

Deliverable

production ML models

Required skills

Machine Learning, Data Management, Business Intelligence, Model Deployment, Performance Optimization, System Integration, Data Pipelines, Cloud Services, Predictive Analytics

Preferred skills

Government and Public Services sector experience, HR analytics expertise

Technologies

ML frameworks

Responsibilities

Engineer, test, and optimize technical components for data scientist support; support system integration, data pipelines, automation routines, cloud services, and operational reliability; deliver innovative solutions through digital transformation and process automation.

Seniority

Mid-level, hands-on IC

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