Senior AI/ML Engineer — Production ML Pipelines (Remote)

Booz Allen Hamilton

Chantilly, Northern (VA, KY)

Hybrid

USD 99,000 - 225,000

Full time

2 days ago
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Job summary

Booz Allen Hamilton is seeking an experienced machine learning engineer to train, test, deploy, and maintain models in production across mission-critical cyber and intelligence workflows.

You will collaborate with data engineers, software developers, solutions architects, and product owners to design scalable ML components, data pipelines, and inference services, while applying best-fit ML algorithms and ensuring secure, compliant deployments.

Qualifications

  • 5+ years of production ML model development, training, tuning, and deployment.
  • Experience building Python-based ML workflows using frameworks.
  • Bachelor’s degree and 8+ years in technical management or related field.

Responsibilities

  • Train, test, deploy, and maintain production ML models.
  • Collaborate with data engineers, software developers, solutions architects, and product owners.
  • Design scalable ML pipelines and data ingestion processes.
  • Deliver production-ready inference services in cloud or on-prem.

Skills

Python
ML workflows
Cross-functional teamwork
Feature engineering
Data preprocessing
APIs and inference
Cloud and on‑prem deployment

Education

Bachelor’s degree + 8+ years technical management
Master’s degree + 5+ years technical management
12+ years technical management in lieu of degree

Tools

Elasticsearch/OpenSearch
RabbitMQ
Kafka
Kubernetes
GitLab CI/CD
Terraform
Docker
GPU-accelerated training

Job description

Booz Allen Hamilton is seeking an experienced machine learning engineer to train, test, deploy, and maintain models in production across mission-critical cyber and intelligence workflows.

You will collaborate with data engineers, software developers, solutions architects, and product owners to design scalable ML components, data pipelines, and inference services, while applying best-fit ML algorithms and ensuring secure, compliant deployments.

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