Artificial Intelligence and Machine Learning Engineer

$96,600 - $220,000/Yr

Booz Allen Hamilton - King George, VA

Part-time,Full-time - Mid Level

King George, VA

Professional, Scientific, and Technical Services

About the position

As an Artificial Intelligence and Machine Learning Engineer at Booz Allen Hamilton, you will leverage your expertise in machine learning to develop scalable tools and solutions that enable efficient ML workflows. Your role will involve defining mission-critical solutions, developing MLOps pipelines, and collaborating with clients to address their data needs. You will utilize your technical skills to build predictive analytics and apply machine learning and deep learning techniques to support high-impact missions across various sectors.

Responsibilities

• Own and define the direction of mission-critical AI/ML solutions.
• Develop MLOps pipelines and containerized solutions for secure model delivery.
• Collaborate with clients to understand their data needs and questions.
• Develop algorithms and write scripts for predictive analytics.
• Apply machine learning and deep learning techniques to diverse datasets.
• Guide clients in navigating ML algorithms, tools, and frameworks.

Requirements

• 5+ years of experience with data science, machine learning engineering, data analytics, or data research.
• 5+ years of experience with object-oriented programming languages such as Python, C, or Java.
• Experience with AWS or Azure cloud technologies.
• Experience in building data science and AI/ML solutions for enterprise operational use cases.
• Experience with MLOps tools like MLFlow, Databricks, Domino, or SageMaker.
• Experience with containerization technologies such as Docker or Kubernetes.
• Experience with NLP, generative AI, or deep learning projects.
• Ability to design MLOps environments and create architecture diagrams.
• Secret clearance required.
• Bachelor's degree.

Nice-to-haves

• Experience with Generative AI and Large Language Model (LLM) tools.
• Experience with GPU programming, including CUDA or RAPIDs.
• Experience in evaluating architectural tradeoffs for AI/ML solutions.
• Ability to communicate technical concepts effectively to various stakeholders.
• Master's degree in Computer Science or Statistics.

Benefits

• Health insurance
• Life insurance
• Disability insurance
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care support