Machine Learning Software Engineer, Senior with Security Clearance

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Job description

Job Number: R Machine Learning Software 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 with 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 with 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. 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 $96,600.00 to $220,000.00 (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. 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. EEO Commitment We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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