Artificial Intelligence and Machine Learning Engineer
Booz Allen Hamilton is seeking an Artificial Intelligence and Machine Learning Engineer to drive innovation through data and AI solutions. The role involves working closely with clients to analyze data, develop algorithms, and create systems that provide actionable insights to solve complex challenges across various sectors.
Responsibilities
- Use analytical skills to help create real-world impact
- Work closely with clients to understand their questions and needs
- Dig into data-rich environments to find pieces of information puzzles
- Develop algorithms and systems with teammates
- Use the right combination of tools and frameworks to turn disparate data points into objective answers
Skills
- 1+ years of experience leveraging scripting or statistical programming languages such as Python to develop predictive data models, quantitative analyses, and data visualizations
- 1+ years of experience in AI, including machine learning, Agentic AI, Generative AI, or Natural Language Processing
- Experience writing efficient, clean, and maintainable code using programming languages such as Python
- Experience with machine learning libraries and frameworks
- Knowledge of statistical analysis, data preprocessing techniques, and feature engineering
- Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined
- Ability to work with large, remote data sets
- Ability to employ best practices in software development, including using Git for version control and collaboration with other developers, and testing and code reviews to ensure the quality and reliability of AI solutions
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Scheduled to obtain a Bachelor's degree in Computer Science, Machine Learning, Data Science, or a STEM field by Spring 2026
- Experience with healthcare or medical device industry data
- Experience using query tools, such as SQL or Spark
- Experience with AWS, GCP, or Salesforce Cloud services
- Experience with Scikit-Learn, TensorFlow, or PyTorch
- Experience with program automation, CI and CD, DevSecOps, and Agile
- Experience with Agile methodologies and best practices
- Experience with geospatial data analysis, including ArcGIS
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
Company Overview