2 days ago
Chantilly, VA, USASenior
H1B sponsor

Base Salary

$99k - $225k/yr

Responsibilities

  • Develop, train, tune, test, deploy, and maintain machine-learning models in production.
  • Define technical direction for mission-critical ML solutions by selecting appropriate algorithms and technologies.
  • Design and deliver scalable ML components, structured and unstructured data pipelines, and production-ready inference services.
  • Build or contribute to ML pipelines, APIs, and inference services integrated with cloud or on-premises systems.
  • Collaborate with data engineers, software developers, solutions architects, and product owners to integrate ML components into mission systems.
  • Guide clients on ML algorithms, tools, and frameworks and help define AI strategy for the intelligence community.

Requirements

  • At least 5 years of experience developing, training, tuning, and deploying machine-learning models in production environments.
  • Experience building Python-based ML workflows using frameworks.
  • Experience collaborating with cross-functional engineering teams to integrate ML components into mission systems.
  • Knowledge of feature engineering, model evaluation, data preprocessing, and large-scale structured or unstructured data ingestion.
  • Ability to build or contribute to ML pipelines, APIs, and inference services for cloud or on-premises systems.
  • Top Secret clearance is required.
  • Bachelor’s degree and 8+ years of technical or program-management experience, a master’s degree and 5+ years of such experience, or 12+ years of such experience in lieu of a degree.
  • Preferred qualifications include experience with RAG, GenAI, multimodal models, Elasticsearch or OpenSearch, RabbitMQ or Kafka, distributed pipeline tooling, MLOps, GitLab CI/CD, Terraform-driven environments, cyber analytics, threat intelligence, malware triage, digital forensics, ETL pipelines, Kubernetes, containerized ML deployment, GPU-accelerated training, or AWS and cloud certifications.

Benefits

  • Health, life, disability, financial, and retirement benefits.
  • Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.
  • Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible for the applicable benefit programs; employees below that threshold receive only select offerings.
  • Employees working virtually are generally expected to have cameras on during meetings, and remote roles may occasionally require work at a Booz Allen or customer facility; hybrid and onsite arrangements follow leadership and customer-facility expectations.

Tech Stack

Apache KafkaAWSElasticsearchGitLab CI/CDKubernetesPythonRabbitMQTerraform

Categories

Booz Allen Hamilton

About Booz Allen Hamilton

10,000+ employees

Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).

Contact me