Machine Learning Engineer – Remote (REMOTE)

Job Number: R0229280 Machine Learning Engineer, Mid The Opportunity: Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As an experienced data professional, you know that machine learning is critical to understanding and processing massive datasets. We need your technical 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 conduct statistical analyses on business processes using machine learning(ML)techniques 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 technologies. You’ll be part of a large community of machine learning engineers across the company 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 skills and extensive technical 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: 2+ years of experience with data science, data analytics, machine learning engineering, or postdoctoral research for machine learning Experience with natural language processing and language models Experience with deploying machine learning models into a production environment Experience with developing software architectures with containerization tools, including Docker or Kubernetes Experience with programming in Python, Java, or C++ Ability to obtain a Secret clearance Bachelor’s degree Nice If You Have: 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 regularizationapproaches 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 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. Compensation 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.