Artificial Intelligence and Machine Learning Engineer

Artificial Intelligence and Machine Learning Engineer

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 containerized 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 an object-oriented language, including 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, including MLFlow, Databricks, Domino, or SageMaker

• Experience with modern Cloud containerization 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 and 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 with Huggingface, LangChain, AutoGPT, or AgentGPT

• 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.