Booz Allen Hamilton
AI and ML Engineer, Senior
Booz Allen Hamilton, Richmond, Virginia, United States
Job Number: R0206531
AI and ML Engineer, Senior
The Opportunity: As an experienced engineer, you know that machine learning
( ML )
is critical to understanding and processing massive datasets. Your ability to c ond uct statistical analyses on business processes using ML te chn iques makes you an integral part of delivering a customer-focused solution. We need your te chn ical knowledge and desire to problem-solve to support critical defense missions.As an optical character recognition
( OCR )
and natural language processing
( NLP )
ML engineer on our Chief Te chn ology Officeteam, 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 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 the
spe
cia
l operations
community. Your advanced consulting skills and extensive te chn ical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Join us. The world can't wait. You Have: 5+ years of experience with ML engineering, data science, research engineering,
sof tware engineering, development, or full stack engineering, including in an academic or professional environment Experience with object-oriented programming in Java, C++, or Python Experience developing
sof tware architecture with containerization tools, including Docker or Kubernetes Experience with databases, including SQL Knowledge of DoD and IC domain and artifi cia l intelligence principles and practices Knowledge of data science fundamentals and methods TS/SCI clearance Bachelor's degree in CS or Engineering Nice If You Have: Experience with the Army Data Platform or Army Vantage Experience developing and deploying ML models into production within DoD enclaves Experience with training models in Databricks with MLflow 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 Experience with Extract, Transform, and Load tools, data warehousing, and data pipeline development Experience with PostgreSQL Experience with pandas or GeoPandas Experience with visualization tools, including Tableau, Anac ond a, or R Studio Ability to deploy production application to a Cloud environment, including Google Cloud or Amazon Web Services 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
;
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 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 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. 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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AI and ML Engineer, Senior
The Opportunity: As an experienced engineer, you know that machine learning
( ML )
is critical to understanding and processing massive datasets. Your ability to c ond uct statistical analyses on business processes using ML te chn iques makes you an integral part of delivering a customer-focused solution. We need your te chn ical knowledge and desire to problem-solve to support critical defense missions.As an optical character recognition
( OCR )
and natural language processing
( NLP )
ML engineer on our Chief Te chn ology Officeteam, 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 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 the
spe
cia
l operations
community. Your advanced consulting skills and extensive te chn ical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Join us. The world can't wait. You Have: 5+ years of experience with ML engineering, data science, research engineering,
sof tware engineering, development, or full stack engineering, including in an academic or professional environment Experience with object-oriented programming in Java, C++, or Python Experience developing
sof tware architecture with containerization tools, including Docker or Kubernetes Experience with databases, including SQL Knowledge of DoD and IC domain and artifi cia l intelligence principles and practices Knowledge of data science fundamentals and methods TS/SCI clearance Bachelor's degree in CS or Engineering Nice If You Have: Experience with the Army Data Platform or Army Vantage Experience developing and deploying ML models into production within DoD enclaves Experience with training models in Databricks with MLflow 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 Experience with Extract, Transform, and Load tools, data warehousing, and data pipeline development Experience with PostgreSQL Experience with pandas or GeoPandas Experience with visualization tools, including Tableau, Anac ond a, or R Studio Ability to deploy production application to a Cloud environment, including Google Cloud or Amazon Web Services 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
;
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 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 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. 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.
#J-18808-Ljbffr