The Opportunity:

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As an Artificial Intelligence and Machine Learning (AI/ML) engineer, you understand the need for robust, scalable tools that enable efficient ML workflows at the enterprise level, enabling data scientists to build, test, and deploy models at scale. We need your technical knowledge and desire to problem-solve to support a variety of high-impact missions across sectors and domains.

In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. As an ML engineer, you'll help define and develop MLOps pipelines and ized solutions to enable secure, robust delivery of models to the enterprise. You'll work closely with your client to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You'll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and help define AI/ML strategy for our clients.

Join us. The world can't wait.

You Have:

• 5+ years of experience with data science, machine learning engineering, data analytics, or data research

• 5+ years of experience with object-oriented language such as, python, C, or Java

• Experience with AWS or Azure cloud technologies

• Experience with building data science and AI or ML solutions that support enterprise operational business and mission use case

• Experience with MLOps open source and Commercial Off the Shelf (COTS) products, such as, MLFlow, Databricks, Domino, or SageMaker

• Experience with modern Cloud ization computing technologies and CI/CD, including Docker or Kubernetes

• Experience with projects in NLP, generative AI, or deep learning focus

• Ability to design environments that support MLOps pipelines by creating architecture diagrams, process flows, selecting appropriate tooling, and deploying the solution

• Ability to obtain a security clearance

• Bachelor's degree

Nice If You Have:

• Experience with Generative AI and Large Language Model (LLM) tools and frameworks

• Experience Huggingface, LangChain, AutoGPT, or AgentGPT, or similar tools

• Experience with GPU programming, including CUDA or RAPIDs

• Experience with addressing functional, technical and performance requirements and evaluating architectural tradeoffs for data science and AI or ML solutions

• Ability to work in a team environment and effectively communicate technical concepts to clients, stakeholders, and senior leaders

• Master's degree in Computer Science or Statistics

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Create Your Career:

Grow With Us

Your growth matters to us-that's why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.

A Place Where You Belong

Diverse perspectives cultivate collective ingenuity. Booz Allen's culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you'll build your community in no time.

Support Your Well-Being

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we'll support you as you pursue a balanced, fulfilling life-at work and at home.

Your Candidate Journey

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we've compiled a list of resources so you'll know what to expect as we forge a connection with you during your journey as a candidate with us.

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.

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.