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Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below. Job Summary: Booz Allen Hamilton is a technology consulting firm seeking a Machine Learning Engineer to support federal healthcare initiatives. The role involves training, testing, deploying, and maintaining machine learning models, as well as conducting statistical analyses to deliver customer-focused solutions. Responsibilities: • Train, test, deploy, and maintain models that learn from data • Conduct statistical analyses on business processes using machine learning (ML) techniques • Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies • Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions • Deliver mentorship, training, and solutions to real world problems • Process data and information at a massive scale • Perform A/B testing tasks on statistical models, ML algorithms, and systems Qualifications: Required: • 2+ years of experience with machine learning engineering, or postdoctoral research for machine learning • Experience with natural language processing and language models • Experience with RAG and Generative AI techniques • Experience with programming in Python, Java, or C++ • Secret clearance • Bachelor's degree Preferred: • Experience with developing software architectures with containerization tools, including Docker and Kubernetes • Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches • Experience with databases, including SQL • Experience with software development, including API development or database management, and model deployment and usage with Javascript frameworks, including React, Angular, or Node.js • Knowledge of AWS, Azure, and GCP • Ability to work in a Linux environment with Bash Scripting • Master's degree Company: Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, headquartered in Mclean, Virginia, USA, team size 10001+ employees, currently Public Company.

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