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Booz Allen Hamilton · 1 day ago

Machine Learning Engineer

Washington, DC

Full-time

Hybrid

Entry, Mid Level

$78K/yr - $176K/yr

2+ years exp

Booz Allen Hamilton is a leading consulting firm that focuses on innovative solutions for complex challenges. They are seeking a Machine Learning Engineer to design and implement system modules and features, leveraging expertise in AI to support federal healthcare initiatives.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Breaking down use cases, designing, and implementing complex system modules, interfaces, and features

Develop new robust, secure, and performant production-grade software

Work with a team to build, test, and operate system capabilities

Apply expertise with AI - GenAI, Agentic AI, and LLMs

Collaborate with a team to build complex features, integrations, and modules

Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks

Qualification

Machine Learning EngineeringNatural Language ProcessingProgramming in PythonGenerative AI TechniquesSoftware DevelopmentDatabases (SQL)Containerization DockerContainerization KubernetesAWSAzureGCPLinux EnvironmentBash ScriptingSoft Skills

Required

2+ years of experience with machine learning engineering, including in an academic or professional environment

Experience with natural language processing and language models

Experience with RAG and Generative AI techniques

Experience with programming in Python, Java, or C++

TS/SCI clearance

Bachelor's degree

Preferred

Experience with developing software architectures with containerization tools, including Docker and Kubernetes

Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches

Experience with databases, including SQL

Experience with software development, including API development or database management, and model deployment and usage with Javascript frameworks, including React, Angular, or Node.js

Knowledge of AWS, Azure, and GCP

Ability to work in a Linux environment with Bash Scripting

Master's degree