Artificial Intelligence and Machine Learning Engineer

Booz Allen Hamilton • Bethesda, MD

1d

About The Position

Artificial Intelligence and Machine Learning Engineer The Opportunity: Are you ready to embark on a journey where your skills in data and artificial intelligence will drive innovation and propel businesses into the future? Are you fascinated by the possibilities presented by artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As an aspiring data scientist and AI engineer, you know you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you see data scientists turning data into actions and you want to be part of the team. As a data scientist on our team, you’ll use your analytical skills to help create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll work with and learn from your teammates as you develop algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions. If you are driven by curiosity, thrive in a fast-paced setting, and have a deep fascination with the potential of AI, this is the place where you can make a significant impact. Join us and be part of a team that's not only shaping the future but also pushing the boundaries of what's possible. Join us. The world can’t wait.

Requirements

• 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
• Bachelor's degree in Computer Science, Machine Learning, Data Science, Engineering, Mathematics, or a Science, Technology, Engineering, and Mathematics (STEM) field

Nice To Haves

• 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

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level