AI Model Engineer
$77.6k - $176kBooz Allen Hamilton
Job Number: R0249971 AI Model Engineer
The Opportunity: As an AI Model Engineer, you'll advance organizational strategy to deliver leading edge capabilities and drive transformation. You'll play a key part in operationalizing Artificial Intelligence (AI) and Machine Learning (ML) models into production analytical workflows, enabling improved decision advantage across mission areas. What You'll Work On:
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
The Opportunity: As an AI Model Engineer, you'll advance organizational strategy to deliver leading edge capabilities and drive transformation. You'll play a key part in operationalizing Artificial Intelligence (AI) and Machine Learning (ML) models into production analytical workflows, enabling improved decision advantage across mission areas. What You'll Work On:
- Develop, refine, and deploy AI/ML models into operational environments.
- Integrate models into analytical workflows to enhance mission efficiency and effectiveness.
- Collaborate with data scientists, engineers, and mission stakeholders to translate analytical needs into scalable technical solutions.
- Establish best practices for model lifecycle management, monitoring, and performance optimization.
- Ensure model reliability, reproducibility, and compliance with applicable security and technical standards.
- Support ongoing modernization initiatives by evaluating emerging technologies and tools.
- 5+ years of experience in AI/ML engineering, data science, or software engineering
- 3+ years of experience developing, training, and deploying ML models into production environments
- Experience building, training, and deploying AI/ML models within secure environments
- Experience with Python and common ML frameworks such as PyTorch or TensorFlow
- Experience with geospatial data, analysis tools, or model development
- Knowledge of data engineering concepts, version control, and MLOps methodologies
- Ability to communicate complex technical concepts to various stakeholders
- Ability to travel up to 25% of the time
- TS/SCI clearance
- Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM), AI, or Data Science field
- Experience with distributed computing, containerization, and workflow orchestration tools
- Experience designing inference pipelines optimized for performance and scalability
- Experience supporting DoW organizations or intelligence workflows
- Knowledge of emerging AI/ML trends relevant to mission-driven environments
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
- Onsite : If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Vacancy posted 4 days ago
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