Artificial Intelligence and Machine Learning Engineer at Booz Allen Hamilton
King George, VA 22485
About the Job
Artificial Intelligence and Machine Learning EngineerThe Opportunity:As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets
In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities
As an Artificial Intelligence (AI) and Machine Learning (ML) Engineer, you understand the need for robust, scalable tools that enable efficient ML workflows at the enterprise level, enabling data scientists to build, test, and deploy models at scale
We need your technical knowledge and desire to problem-solve to support a variety of high-impact missions across sectors and domains.In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies
As an ML engineer, you’ll help define and develop MLOps pipelines and containerized solutions to enable secure, robust delivery of models to the enterprise
You’ll work closely with your client to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle
You’ll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.Your advanced consulting 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 help define AI and ML strategy for our clients.Join us
The world can’t wait. You Have: 3+ years of experience with data science, ML engineering, data analytics, or data research3+ years of experience with object-oriented languages, including Python, C, or JavaExperience with AWS or Azure cloud technologiesExperience building data science and AI or ML solutions that support enterprise operational business and mission use caseExperience with computer visionAbility to design environments that support MLOps pipelines by creating architecture diagrams, process flows, selecting appropriate tooling, and deploying the solutionSecret clearanceBachelor's degreeNice If You Have: Experience with Generative AI and Large Language Model (LLM) tools and frameworksExperience with GPU programming, including CUDA or RAPIDsExperience addressing functional, technical, and performance requirements and evaluating architectural tradeoffs for data science and AI or ML solutionsExperience with modern Cloud containerization computing technologies and CI/CD, including Docker or KubernetesExperience with projects in NLP, Generative AI, or deep learning focusExperience with MLOps open-source and Commercial Off the Shelf (COTS) products, including MLFlow, Databricks, Domino, or SageMakerAbility to work in a team environment and communicate technical concepts to clients, stakeholders, and senior leaders effectivelyMaster's degree in CS or StatisticsClearance: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.CompensationAt 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.Identity StatementAs 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 ModelOur 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 CommitmentWe’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.SummaryLocation: King George, VAType: Full time
In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities
As an Artificial Intelligence (AI) and Machine Learning (ML) Engineer, you understand the need for robust, scalable tools that enable efficient ML workflows at the enterprise level, enabling data scientists to build, test, and deploy models at scale
We need your technical knowledge and desire to problem-solve to support a variety of high-impact missions across sectors and domains.In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies
As an ML engineer, you’ll help define and develop MLOps pipelines and containerized solutions to enable secure, robust delivery of models to the enterprise
You’ll work closely with your client to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle
You’ll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.Your advanced consulting 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 help define AI and ML strategy for our clients.Join us
The world can’t wait. You Have: 3+ years of experience with data science, ML engineering, data analytics, or data research3+ years of experience with object-oriented languages, including Python, C, or JavaExperience with AWS or Azure cloud technologiesExperience building data science and AI or ML solutions that support enterprise operational business and mission use caseExperience with computer visionAbility to design environments that support MLOps pipelines by creating architecture diagrams, process flows, selecting appropriate tooling, and deploying the solutionSecret clearanceBachelor's degreeNice If You Have: Experience with Generative AI and Large Language Model (LLM) tools and frameworksExperience with GPU programming, including CUDA or RAPIDsExperience addressing functional, technical, and performance requirements and evaluating architectural tradeoffs for data science and AI or ML solutionsExperience with modern Cloud containerization computing technologies and CI/CD, including Docker or KubernetesExperience with projects in NLP, Generative AI, or deep learning focusExperience with MLOps open-source and Commercial Off the Shelf (COTS) products, including MLFlow, Databricks, Domino, or SageMakerAbility to work in a team environment and communicate technical concepts to clients, stakeholders, and senior leaders effectivelyMaster's degree in CS or StatisticsClearance: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.CompensationAt 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.Identity StatementAs 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 ModelOur 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 CommitmentWe’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.SummaryLocation: King George, VAType: Full time
