Booz Allen
ArtificialIntelligenceandMachineLearningEngineer,Lead
Neural analysis suggests this role is
optimal for Lead candidates.
“Artificial Intelligence and Machine Learning Engineer, Lead at Booz Allen. Skills: AI, Machine Learning, MLOps, Data orchestration. Lead AI microservices deployment. Operationalize scalable AI microservices”
What You'll Achieve.
Drive operational readiness; Drive tactical decision making; Enhance situational awareness; Optimize mission execution
Industry & Context.
Unlock secrets held by data set; Fascinated by possibilities
Secret clearance, TS/SCI clearance
What They're Looking For.
Must Have
Secret clearance, Bachelor's degree in a Data Science or Mathematical field
Nice to Have
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 SharePoint, 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 related field
What You'll Do.
Lead AI microservices deployment
Operationalize scalable AI microservices
Develop production-grade APIs
Use containerization and orchestration
Deliver automated model serving
Implement CI/CD pipelines
Design data orchestration
Deploy scalable ETL/ELT pipelines
Build production microservices
Apply deep technical knowledge
Develop and deploy solutions
Inform client's technical strategy
Design complex systems
Implement complex systems
How You'll Work.
Team & Collaboration
Work directly with client; Work with stakeholders; Cross-functional efforts; Support cross-functional collaboration; Align with stakeholders
Communication Scope
Communicate complex technical concepts
Process & Methodology
Manage project workflows, Manage documentation
Full Job Description
Artificial Intelligence and Machine Learning Engineer, Lead **The Opportunity:** 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? As an MLOps Engineer, you have a passion for leveraging Department of War (DoW) data to drive operational readiness and tactical decision making. You excel at designing, building, and operationalizing scalable solutions in secure enterprise environments integrating datasets from disparate systems. As a member on our team, you’ll work directly with the client and stakeholders to architect data-driven solutions that enhance situational awareness and optimize mission execution. You will apply your deep technical knowledge in data orchestration and the development and deployment of solutions to production environments to inform the client’s technical strategy for designing and implementing complex systems. Join us. The world can't wait. **You Have:** * 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 in multiple programming and scripting languages, such as Python, Java, Bash, Shell, SQL, HCL, YAML, JavaScript, or
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