Machine Learning Engineer Security Clearance

Position: Machine Learning Engineer with Security Clearance
Job Number: R0230027 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. You Have:
* 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 Nice If You Have:
* 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 Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;
Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $ (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz…