Senior ML Engineer - National Security Analytics (Remote)

Booz Allen Hamilton; Chantilly (VA); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton in Chantilly, VA is seeking an experienced AI/ML Engineer to design, train, and deploy production ML models for national security and cyber analytics. You will collaborate with data engineers, software developers, and product owners to build scalable ML components, data pipelines, and inference services.

The role requires 5+ years of hands-on ML experience, Python-based workflows, experience with cross-functional teams, feature engineering, and cloud/on-prem integration, plus

Qualifications

• 5+ years of experience developing, training, tuning, and deploying ML models in production
• Experience building Python-based ML workflows using frameworks
• Experience collaborating within cross-functional engineering teams to integrate ML components into mission systems
• Knowledge of feature engineering, model evaluation, data preprocessing, and large-scale ingestion

Responsibilities

• Train, test, deploy, and maintain models in production environments
• Build and maintain ML pipelines, APIs, and inference services
• Collaborate with data engineers, software developers, solutions architects, and product owners
• Design scalable ML components and data pipelines for mission systems

Skills

ML development

Python ML

Cross-functional teams

Statistical analysis

Feature engineering

ML pipelines

Cloud/on-prem

Top Secret clearance

Cloud integration

Education

Bachelor’s degree

Master’s degree

Tools

Elasticsearch/OpenSearch

GitLab CI/CD

Terraform

Kubernetes

Job description

Booz Allen Hamilton in Chantilly, VA is seeking an experienced AI/ML Engineer to design, train, and deploy production ML models for national security and cyber analytics. You will collaborate with data engineers, software developers, and product owners to build scalable ML components, data pipelines, and inference services.

The role requires 5+ years of hands-on ML experience, Python-based workflows, experience with cross-functional teams, feature engineering, and cloud/on-prem integration, plus