The Opportunity:

As an experienced Machine Learning Engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support the development of our AI-enabled application, LabelLogic. As a technical lead on our team, you'll lead the development and progress of an advanced AI-Enabled solution.

In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a large community of machine learning engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to enhance AI-driven capabilities, perform A/B testing tasks on statistical models, ML algorithms, and systems. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Due to the nature of work performed within this facility, U.S. citizenship is required.

Work with us to solve real-world challenges and define ML strategy for national security.

Join us. The world can't wait.

You Have:

• 7+ years of experience in software development, AI and machine learning applications

• Experience in Python, JavaScript, or similar programming languages

• Experience with Langchain and LangGraph libraries in real-world applications

• Experience in managing technical teams and driving complex projects

• Experience in architecting ized applications

• Experience in working with large language models (LLMs), natural language processing (NLP), and data science workflows

• Ability to address and resolve unbounded technical issues and problem solve

• Bachelor's degree in Computer Science

Nice If You Have:

• Experience with HTML, CSS, and front-end web frameworks

• Experience with business development and interfacing with clients

• Experience with Navy IT systems

• Experience with Model-Based Systems Engineering (MBSE) and Retrieval-Augmented Generation (RAG)

• Experience with REST APIs

• Experience with CI/CD, DevOps, and automation processes

• Possession of a strong innovation mindset

• Possession of strong communication skills, including public speaking

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.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.