Machine Learning Software Engineer

Machine Learning Software Engineer

The Opportunity: 

As a programmer, 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 federal AI infrastructure. As a machine learning (ML) engineer on our Stategic Innovation team, you’ll train, test, deploy, and maintain models that learn from data.  

In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within 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 deliver solutions to real world problems through ML algorithms, and systems. Your consulting skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. 

Work with us to solve real-world challenges and define ML strategy for the federal government.

Join us. The world can’t wait.

You Have:  

• 2+ years of experience in a dashboard development, data science, MLOps, DevOps, software engineering, data research, or application development role

• Experience with natural language processing, deep learning, reinforcement learning, or computer vision project work

• Experience with developing in Java, Python, C++, or Go 

• Experience with scripting in Bash, PowerShell, Python, Groovy, or Ruby

• Knowledge of container networking, monitoring, and storage solutions

• Ability to develop infrastructure-as-code, including activities around the automated server or network configurations, large-scale software deployments, or monitoring and testing, including CI/CD

• Secret clearance  

• Bachelor’s degree

Nice If You Have:  ​

• 2+ years of experience with container tools, including Docker, Kubernetes, or Rancher

• 2+ years of experience deploying Kubernetes in a platform or cloud offering, including GCP, AWS, or Azure

• Experience with Authority to Operate (ATO) processes for DoD operations

• Experience using or migrating CI/CD pipeline solutions or tools, including GitLab

• Experience with system integration using a variety of protocols, including JSON, REST, and XML

• Knowledge of cloud and virtualization-based technologies, including Docker, Azure, or Amazon Web Services (AWS)

• Knowledge of Linux or UNIX administration and automation, and foundational system administration principles

• Knowledge of classified environment processes and protocols

• Kubernetes Certification

Clearance:

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

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