Artificial Intelligence & Machine Learning Engineer

Job Number: R0225820

Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As a seasoned data professional, you know that machine learning (ML) is critical to understanding and processing massive datasets. We need your technical expertise to support the Intelligence Community in applying artificial intelligence (AI) to accelerate effect generation on targets of opportunity.

As an Artificial Intelligence & Machine Learning Engineer on our national security team, you''ll train, test, deploy, and maintain models that learn from data. Your ability to lead statistical analyses on business processes using machine learning techniques is key and makes you an integral part of delivering a customer-focused solution.

In this role, you''ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You''ll share your knowledge with a large community of machine learning engineers across the company and collaborate with IC stakeholders, data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to enable innovative solutions to real-world problems.

If you have the drive to solve real-world challenges and define ML strategy in support of national security, 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.

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

Join us. The world can't wait.

• 2+ years of experience with artificial intelligence data science, machine learning engineering, or data analytics
• Experience with project work in deep learning, computer vision, NLP, or signal processing
• Experience using AI and ML frameworks, including PyTorch or Tensor Flow
• Experience with multiple libraries, including Num Py, OpenCV, Scikit, or Pandas
• Experience working with Agile methodologies
• Experience with high-level programming languages, including Python, Scala, or Java
• Knowledge of modern software design patterns, including microservice design or edge computing
• TS/SCI clearance
• Bachelor's degree in a Science, Mathematics, Physics, Computer Science, or Applied Science field

Nice If You Have

• Experience transitioning AI prototypes to production
• Experience with embedded systems programming in C, C++, or Rust
• Experience with Dev Ops tools, including Docker, Git, Git Lab, Git Hub, Continuous Integration (CI), or Continuous Deployment (CD)
• Experience with writing Dockerfiles, Helm, Kubernetes, and deployment scripts and templates
• Experience interfacing with databases, including SQL or MongoDB
• Experience managing Kubernetes container orchestration platforms, including Rancher, Open Shift, k3s, or Kubeadm
• Experience with cloud platform management and provisioning, including AWS, Gov Cloud, and Microsoft Azure
• Experience with GPU-programming, including CUDA or RAPIDS
• Ability to gather requirements from customers and lead Agile teams
• Master's degree in CS or Statistics preferred;
  Doctorate degree in CS or Statistics a plus

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

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…