Jobs for People with MS: National MS Society

Job Number: R0200347

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 AI/ML solutions to enable secure, robust delivery of models to the enterprise. You'll work closely with your client and project teams to understand 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 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 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, process flows, selecting appropriate tooling, and deploying the solution

Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

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

Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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 ingenuit . 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.