This role pays less than
93%
of similar roles. Most pay
$146,500–$228,356
— the shaded band above.
At the midpoint, this role pays about
$114k
versus about
$187k
for comparable roles.
Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
802 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 783 roles with salary data.
As an AI/ML Software Developer, you will join the team to create artificial intelligence and machine learning solutions designed to solve complex problems for clients while improving organizational efficiency and decision-making. Your daily responsibilities involve developing user-focused software and deploying machine learning models into production environments. To succeed in this role, you must possess experience in MLOps, DevOps, software engineering, or application development, alongside expertise in natural language processing, deep learning, or computer vision projects. You will utilize programming languages such as Python, Java, or C++, while applying knowledge of Linux or UNIX administration and automation. The work involves technical environments that may include cloud-native and containerized development using Docker, Kubernetes, and infrastructure-as-code across AWS, Azure, or GovCloud platforms to support critical software systems in the intelligence community.
Develop artificial intelligence and machine learning solutions to solve complex client problems.
Create user-focused software applications that increase organizational efficiency and improve decision-making.
Build and deploy machine learning models into production environments.
Develop software using Python, Java, or C++.
Implement natural language processing, deep learning, or computer vision technologies.
Perform Linux or UNIX system administration and automation tasks.
Manage cloud-native and containerized deployments using Docker and Kubernetes.
Support critical software environments for the Department of Defense or Intelligence Community.
What we're looking for
Active TS/SCI clearance and willingness to take a polygraph exam.
2+ years of experience in MLOps, DevOps, software engineering, or application development.
Experience with natural language processing, deep learning, or computer vision project work.
Experience developing in Python, Java, or C++.
Experience deploying machine learning models into a production environment.
Knowledge of Linux or UNIX administration and automation and foundational system administration principles.
2+ years of experience with data science, analytics, ML engineering, or graduate/postdoctoral research (preferred); cloud-native/containerized development; or DoD/Intelligence Community experience (preferred).