Machine Learning Engineer| Senior

Job description
Machine Learning Engineer, Senior page is loaded Machine Learning Engineer, Senior Apply locations Washington, DC Arlington, VA time type Full time posted on Posted 3 Days Ago job requisition Learning Engineer, Senior

The Opportunity:

Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic te chn ology professionals? As an experienced data professional, you know that machine learning (ML) is critical to understanding and processing massive datasets. We need your te chn ical expertise to support federal healthcare. As a machine learning engineer, you’ll train, test, deploy, and maintain models that learn from data.

Your ability to c ond uct statistical analyses on business processes using ML te chn iques is key and makes you an integral part of delivering a customer-focused solution. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and te chn ologies. You’ll be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to deliver mentorship, training, and solutions to real world problems, process data and information at a massive scale, and perform A / B testing tasks on statistical models, ML algorithms, and systems .

Your advanced consulting skills and extensive te chn ical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. If you have the drive to solve real-world challenges and define ML strategy for healthcare in the federal government, there’s a place for you here. At Booz Allen, you’ll make a difference with us, and in return, we’ll invest in your future.

Join us. The world can’t wait. You Have: 5+ years of experience with data science, ML engineering, or postdoctoral research for ML

Experience with natural language processing and large language models ( LLM )

Experience with RAG framework

Experience with ML, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches for each Experience deploying ML models into a production environment

Experience with programming in Python, Java, or C++

Experience with databases, including SQL Secret clearance Bachelor's degree in CS or Engineering Nice If You Have:
Experience developing sof tware architectures with containerization tools, including Docker and Kubernetes

Experience with sof tware 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 Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ;
Secret clearance is required. Create Your Career:
Grow With Us Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs , tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms. A Place Where You Belong Diverse perspectives cultivate collective ingenuity.

Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time. Support Your Well-Being Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401 ( k ) match, and more.

With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work…