AI/ML Ops Engineer for Secure Enterprise Data

Booz Allen Hamilton

Northern (KY)

Hybrid

USD 99,000 - 225,000

Full time

5 days ago

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Job summary

Booz Allen Hamilton is seeking an AI and Machine Learning Engineer to design, build, and operate scalable AI microservices and production-grade APIs. You will work with DoD data to enhance operational readiness, implement MLOps practices, and ensure secure, compliant deployments in cloud environments.

You will lead data orchestration efforts, develop ETL/ELT pipelines, and collaborate with stakeholders to shape technical strategies and architectural diagrams for complex systems.

Qualifications

Experience deploying and operationalizing scalable AI microservices.
Experience building production-grade APIs with containerization/orchestration.
Experience with data orchestration and ETL/ELT pipelines in cloud environments.
Experience leading or participating in ATO accreditation for production releases.
Experience implementing MLOps best practices including monitoring and retraining workflows.

Responsibilities

Architect data-driven solutions to enhance situational awareness.
Design and deploy scalable AI/ML production pipelines.
Collaborate with cross-functional teams to meet security and compliance requirements.
Communicate complex technical concepts to diverse audiences.

Skills

AI/ML

MLOps

Containerization

CI/CD

Python/Java

Data orchestration

Cloud

Communication

System design

NIST controls

Education

Bachelor's degree

Master's degree in AI/ML

Tools

Docker

Kubernetes

NIFI

Airflow

Jira

Confluence

Job description

You will lead data orchestration efforts, develop ETL/ELT pipelines, and collaborate with stakeholders to shape technical strategies and architectural diagrams for complex systems.

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