Artificial Intelligence and Machine Learning Engineer

Booz Allen Hamilton•Bethesda, MD

23h

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 (AI) will drive innovation and propel businesses into the future? Are you fascinated by the possibilities presented by AI 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

3+ years of experience leveraging statistical programming languages such as Python, to develop predictive data models, quantitative analyses, and data visualizations
2+ years of experience in AI, including machine learning, Agentic 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 such as Scikit-Learn, TensorFlow, or PyTorch
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 datasets using tools such as SQL or Spark, to query, and design and perform A/B testing to evaluate model performance and measure the impact of AI solutions on business outcomes
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
Public Trust
Bachelor's degree in a CS, Machine Learning, Data Science, Engineering, or Mathematics field