Booz Allen Hamilton
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Connect with others in our people-first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING
Learn how we’ll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us. As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support artificial intelligence and ML initiatives. As an ML engineer on our team, you’ll train, test, deploy, and maintain models that learn from data. 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 ML engineers across the company and collaborate with other engineers to deliver world-class solutions. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy. Join us. The world can’t wait. You Have: 10+ years of experience in software development, data science with programming languages, or web application development Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree in Technology or Science Ability to obtain an IAT Level II Certification within 30 days of start date Nice If You Have: Experience with React and Node.js Experience with NLP, including Transformers and vector databases Experience with generative AI and LLMs DoD 8570 Security+ or CISSP Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 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 location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. The projected compensation range for this position is $99,000 to $225,000 (annualized USD). This posting will close within 90 days from the Posting Date.
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Connect with others in our people-first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING
Learn how we’ll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us. As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support artificial intelligence and ML initiatives. As an ML engineer on our team, you’ll train, test, deploy, and maintain models that learn from data. 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 ML engineers across the company and collaborate with other engineers to deliver world-class solutions. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy. Join us. The world can’t wait. You Have: 10+ years of experience in software development, data science with programming languages, or web application development Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree in Technology or Science Ability to obtain an IAT Level II Certification within 30 days of start date Nice If You Have: Experience with React and Node.js Experience with NLP, including Transformers and vector databases Experience with generative AI and LLMs DoD 8570 Security+ or CISSP Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 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 location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. The projected compensation range for this position is $99,000 to $225,000 (annualized USD). This posting will close within 90 days from the Posting Date.
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