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Booz Allen Hamilton · 6 hours ago

MLOps Engineer

Bethesda, MD

Full-time

Hybrid

Mid Level

$78K/yr - $176K/yr

4+ years exp

Booz Allen Hamilton is seeking an MLOps Engineer to help build a system that positively impacts public health. The role involves streamlining the development lifecycle for machine learning models, working within a collaborative Agile team to develop and maintain cloud-based software and infrastructure.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Build, configure, and maintain a robust MLOps platform in the cloud to streamline the development lifecycle from development to production, ensuring efficient deployment of ML models

Design and implement CI/CD workflows to automate the testing, integration, and deployment of ML models in development, testing, and production environments

Work closely with an Agile development team, leveraging collaborative approaches to develop, deploy, and maintain cloud-based software and infrastructure supporting enterprise-wide ML initiatives

Enhance and manage ML lifecycles, including data management, model training, deployment, and monitoring, to ensure seamless integration and operation within production environments

Develop containerized applications, focusing on API design and authentication, to ensure scalable and secure deployment of ML models across cloud environments

Utilize distributed and cloud technologies such as Azure and Databricks to efficiently manage data and ML workflows, optimizing performance and scalability

Identify new opportunities to design and implement end-to-end automated data and ML pipelines, leveraging cloud services, containerization, and serverless architectures to meet the client’s toughest challenges

Continuously evaluate and integrate new tools and technologies such as Kubernetes, version control systems like Git, and other cloud services such as Azure Data Lake Services or Data Factory, to enhance the MLOps ecosystem and improve development workflows

Qualification

MLOps platformsCI/CD workflowsCloud technologiesContainerizationObject-Oriented ProgrammingAzureDatabricksAPI designKubernetesPythonPySparkGit

Required

4+ years of experience with Object-Oriented Programming (OOP)

3+ years of experience developing software using distributed and cloud technologies, including Azure or Databricks

3+ years of experience leveraging MLOps platforms and ML CI/CD workflows to manage datasets and model training, deployment, and monitoring

Experience developing containerized applications, including API design and authentication

Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem

Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Bachelor's degree

Preferred

Experience with Python and PySpark

Experience with Azure Data Lake Services, Data Factory, Synapse, Purview, EntraID, or other cloud services

Experience with Kubernetes

Experience with design and implementation, including building, containerizing, and deploying end-to-end automated data and ML pipelines, within a cloud environment

Experience with version control tools, including Git

Master's degree