Machine Learning Engineer, Mid - Join Our Team at Booz Allen Hamilton

Are you passionate about crafting innovative solutions to complex challenges within a dynamic tech community? As an experienced data professional, you understand how vital machine learning is for analyzing and processing vast datasets. We need your expertise to support federal healthcare initiatives.

About the Opportunity

As a Machine Learning Engineer at Booz Allen Hamilton, you will train, test, deploy, and maintain ML models to derive insights from data. Your proficiency in conducting statistical analyses on business processes using machine learning techniques will be crucial in delivering customer-focused solutions.

In this role, you’ll own and define the direction of mission-critical projects by applying best-fit ML algorithms and technologies. Collaborate with a large community of machine learning engineers, data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions. You’ll also perform A/B testing tasks on statistical models, ML algorithms, and systems.

Your advanced consulting skills and extensive technical expertise will guide clients through the intricate landscape of ML algorithms, tools, and frameworks. If you’re driven to solve real-world challenges and shape ML strategies for healthcare in the federal government, there’s a place for you here.

Qualifications

You Have:

• 2+ years of experience in data science, data analytics, machine learning engineering, or postdoctoral research in machine learning
• Experience with natural language processing and language models
• Experience deploying machine learning models in production environments
• Proficiency in Python, Java, or C++
• Ability to obtain a security clearance
• Bachelor's degree

Nice If You Have:

• Experience with containerization tools like Docker and Kubernetes
• Proficiency in different machine learning methods, including linear, reinforcement learning, tree-based, or deep learning methods, and regularization approaches
• Experience with SQL databases
• Experience with software development, including API development or database management, and model deployment using JavaScript frameworks like React, Angular, or Node.js
• Knowledge of AWS, Azure, and GCP
• Ability to work in a Linux environment using Bash scripting
• Secret clearance
• 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.

Create Your Career at Booz Allen Hamilton

Grow With Us

Your growth is important to us. We offer a variety of ways for you to develop your career, including upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking opportunities. Chart a unique and fulfilling career path on your own terms.

A Place Where You Belong

Diverse perspectives drive collective ingenuity. Booz Allen's culture of respect, equity, and opportunity means you can bring your whole self to work. Join business resource groups and other opportunities for connection to quickly build your community.

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. Enjoy flexible schedules, and choose remote or hybrid work locations to support a balanced, fulfilling life—at work and at home.

Your Candidate Journey

We value our people above all else. Our compilation of resources will help you understand what to expect as we build a connection with you during your candidate journey. Your contributions will be recognized through our awards program for exceptional performance and demonstration of our values.

Compensation

At Booz Allen, we celebrate your contributions and provide you with choices and support for your total well-being. Full-time and part-time employees working at least 20 hours a week regularly are eligible for benefit programs. Salary is determined by various factors, including location, education, skills, and experience, with a projected compensation range for this role between $75,600.00 and $172,000.00 (annualized USD). This range exemplifies just one part of our total compensation package.

Work Model

Our people-first culture prioritizes flexibility and collaboration, whether in person or remotely. If listed as remote or hybrid, periodic