AI & ML Engineer, Mid

Booz Allen Hamilton•Colorado Springs, CO

About The Position

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 AI and 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 civil engineering clients within the Department of War. 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 and ML strategy for our clients. Join us. The world can’t wait.

Requirements

1+ years of experience with data science, machine learning engineering, data analytics, or data research
1+ years of experience with an object-oriented language such as Python, C, or Java
Experience with AWS or Azure cloud technologies
Experience 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 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 work in a team environment and effectively communicate technical concepts to clients, stakeholders, and senior leaders
Ability to obtain a Secret clearance
Bachelor's degree

Nice To Haves

Experience with Generative AI and Large Language Model (LLM) tools and frameworks
Experience with modern Cloud containerization computing technologies and CI/CD, including Docker or Kubernetes
Experience with Huggingface, LangChain, AutoGPT, or AgentGPT, or similar tools
Experience with GPU programming, including CUDA or RAPIDs
Experience addressing functional, technical, and performance requirements and evaluating architectural tradeoffs for data science and AI or ML solutions
Secret clearance
Master's degree in Computer Science or Statistics