Booz Allen Hamilton
AI and ML Engineer, Senior
Booz Allen Hamilton, Alexandria, Virginia, us, 22350
AI and ML Engineer, Senior
ApplyLocations:
Alexandria, VA; Bethesda, MDTime Type:
Full timePosted On:
Posted 2 Days AgoJob Requisition ID:
R0204440Key Role:Perform as a member in our elite Digital Battlespace Platform (DBP) team to build next generation technologies for our defense clients leading our materials and science engineering efforts. Process data and information as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with ML technologies. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions.Basic Qualifications:2+ years of experience developing, training, testing, and integrating AI and ML modelsExperience with custom tools, including Python, Shell Scripting, SQL, or Cloud storage toolsExperience optimizing and compressing AI and ML models for small form factor edge compute devices, including quantization or pruningExperience creating benchmark datasets and Python packages to facilitate data science objectivesExperience conducting research and the implementation of the latest advancements in ML to analyze and process large-scale spatio-temporal data for edge processorsExperience developing and testing AI and ML models for low size, weight, and power (SWAP), and small form factor edge devices, including Qualcomm Snapdragon, Nvidia Jetson Xavier and Orin, or Raspberry PiExperience deploying models in Docker or Docker composeAbility to obtain a Secret clearanceHS diploma or GEDAdditional Qualifications:Experience using deep learning frameworks, including Keras, TensorFlow lite, or PyTorch mobileExperience implementing ML pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W & B, TFLite, SNIPE, SHAP, UMAP, or ARTExperience in defenseAbility to work with clients to deploy ML systems in existing networks using virtual machines or containerizationPossession of excellent analytical and problem-solving skills, in highly complex environmentsMaster’s degree in Engineering, Computer Science, or Data ScienceClearance: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.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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ApplyLocations:
Alexandria, VA; Bethesda, MDTime Type:
Full timePosted On:
Posted 2 Days AgoJob Requisition ID:
R0204440Key Role:Perform as a member in our elite Digital Battlespace Platform (DBP) team to build next generation technologies for our defense clients leading our materials and science engineering efforts. Process data and information as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with ML technologies. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions.Basic Qualifications:2+ years of experience developing, training, testing, and integrating AI and ML modelsExperience with custom tools, including Python, Shell Scripting, SQL, or Cloud storage toolsExperience optimizing and compressing AI and ML models for small form factor edge compute devices, including quantization or pruningExperience creating benchmark datasets and Python packages to facilitate data science objectivesExperience conducting research and the implementation of the latest advancements in ML to analyze and process large-scale spatio-temporal data for edge processorsExperience developing and testing AI and ML models for low size, weight, and power (SWAP), and small form factor edge devices, including Qualcomm Snapdragon, Nvidia Jetson Xavier and Orin, or Raspberry PiExperience deploying models in Docker or Docker composeAbility to obtain a Secret clearanceHS diploma or GEDAdditional Qualifications:Experience using deep learning frameworks, including Keras, TensorFlow lite, or PyTorch mobileExperience implementing ML pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W & B, TFLite, SNIPE, SHAP, UMAP, or ARTExperience in defenseAbility to work with clients to deploy ML systems in existing networks using virtual machines or containerizationPossession of excellent analytical and problem-solving skills, in highly complex environmentsMaster’s degree in Engineering, Computer Science, or Data ScienceClearance: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.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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