Artificial Intelligence and Machine Learning Engineer, Lead
At a glance
AI generatedTL;DR
As a Lead MLOps Engineer on our dedicated team, you will drive the deployment and operationalization of scalable AI microservices in secure enterprise environments to enhance situational awareness and optimize mission execution. Your day-to-day responsibilities include designing and deploying production-grade APIs using containerization and orchestration tools like Docker and Kubernetes, while also implementing CI/CD pipelines for model serving. You will work closely with stakeholders to architect data-driven solutions, ensuring compliance with NIST SP 800-53 controls and ATO accreditation processes. Key skills required include experience in multiple programming languages such as Python, Java, and SQL, along with expertise in MLOps best practices like model monitoring and automated retraining workflows. This role involves creating comprehensive documentation and communicating technical concepts to both technical and non-technical audiences, all while supporting the Department of War's data initiatives on platforms like Azure or AWS.
Skills
What you'll do
- Lead the deployment and operationalization of scalable AI microservices using containerization and orchestration tools.
- Design and maintain ETL/ELT pipelines for cloud environments, ensuring data flows are secure and efficient.
- Implement MLOps best practices including model monitoring, drift detection, and automated retraining workflows.
- Develop production-grade APIs to deliver automated model serving and CI/CD pipelines in regulated cloud environments.
- Create comprehensive architecture diagrams and system design documentation for cross-functional collaboration.
What we're looking for
- Experience leading the deployment and operationalization of scalable AI microservices using containerization and orchestration tools.
- Expertise in data orchestration and ETL/ELT pipeline design, including use of Docker, Kubernetes, Nifi, or Airflow for cloud environments.
- Knowledge of MLOps best practices, including model monitoring, drift detection, and automated retraining workflows in regulated settings.
- Proficiency in multiple programming languages (Python, Java, Bash, SQL) for full-stack development and scripting.
- Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
- Secret clearance required; TS/SCI clearance preferred.
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 641 open roles on FindRole.
Listed pay typically runs $86,800–$198,000 across 628 roles with salary data.
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