Booz Allen Hamilton-posted 2 days ago
$77,600 - $176,000/Yr
Full-time • Mid Level
Usa, DC
1-10 employees

Machine Learning Engineer The Opportunity: Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As an experienced data professional, you know that machine learning is critical to understanding and processing massive datasets. We need your technical expertise to support federal healthcare. As a machine learning engineer, y ou'll be responsible for breaking down use cases, designing, and implementing complex system modules, interfaces, and features. You'll leverage your technical expertise in AI. You'll develop new, robust, secure, and performant production-grade software. You’ll use your communication skills to work with a team to build, test, and operate system capabilities. You’ll leverage your expertise with full-stack web application development, experience with software design, and implementation on large codebases, and learn new languages, technologies, and codebases quickly. You will apply your expertise with AI - GenAI, Agentic AI, and LLMs, and work independently while collaborating with a team to build complex features, integrations, and modules. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. If you have the drive to solve real-world challenges and define ML strategy for healthcare in the federal government, there’s a place for you here. At Booz Allen, you’ll make a difference with us, and, in return, we’ll invest in your future. Join us. The world can’t wait.

  • 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
  • build complex features, integrations, and modules
  • guide clients as they navigate the landscape of ML algorithms, tools, and frameworks
  • define ML strategy for healthcare in the federal government
  • 2+ years of experience with machine learning engineering
  • Experience with natural language processing and language models
  • Experience with RAG and Generative AI techniques
  • Experience with building agentic AI capabilities
  • Experience with programming in Python, Java, or C++
  • Top Secret clearance
  • Bachelor's degree in Science, Technology, Engineering, or Mathematics
  • 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 in Computer Science or Computer Engineering
  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
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