Artificial Intelligence and Machine Learning Engineer

Artificial Intelligence and Machine Learning Engineer

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances?

• Experience leading the deployment and operationalization of scalable AI microservices, including the development of production-grade APIs using containerization and orchestration, to deliver automated model serving and CI/CD pipelines for production application
• Experience with data orchestration and containerization tools, such as Docker, Kubernetes, NIFI, or Airflow, to design, deploy and maintain scalable ETL/ELT pipelines, data flows, and production microservices to cloud environments
• Experience leading or participating in cross-functional efforts to complete ATO accreditation for release of products in production environment
• Experience implementing MLOps best practices, including model monitoring, drift detection, and automated retraining workflows, while maintaining strict compliance in regulated cloud environments
• Experience with programming and scripting languages, such as Python, Java, Bash, Shell, SQL, HCL, YAML, JavaScript, or Typescript to support full-stack development efforts
• Experience communicating complex technical concepts to both technical and non-technical audiences
• Experience creating clear and comprehensive architecture diagrams, data flow diagrams, and system design documentation to support cross-functional collaboration and stakeholder alignment
• Knowledge of NIST SP 800-53 controls
• Secret clearance
• Bachelor's degree

• Experience building ETL/ELT pipelines from external data lakes and systems such as the War Data Platform (WDP), Palantir Maven Smart System (MSS), Cloud Platforms such as Azure, AWS, or GCP, and Share Point
• Experience with other DoW enterprise data platforms such as Advana or MSS
• Experience with Lean-Agile methodologies and frameworks such as Scrum or Scaled Agile Framework (SAFe)
• Experience managing project workflows and documentation across Jira and Confluence for alignment to concurrent initiatives
• Knowledge of USMC operational planning, intelligence cycles, or logistics processes
• TS/SCI clearance
• Master's degree in an Artificial Intelligence or Machine Learning field

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.

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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 $99,000.00 to $ (annualized USD). The estimate displayed…