$99,000.00 to $225,000.00 (annualized usd); not sp...
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Machine learning model development and deployment
Python coding and libraries
Deep learning, computer vision, or generative ai
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Booz Allen Hamilton is seeking a Machine Learning Engineer with over five years of experience in artificial intelligence and machine learning to join their defense technology team. The ideal candidate will possess strong programming skills, particularly in Python, and have experience in developing and deploying machine learning models, while also holding a Secret clearance.
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Job Summary
As a machine learning engineer on our defense technology team, you’ll train, test, deploy, and maintain models that learn from data.
Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Booz Allen offers a comprehensive benefits package including health, life, disability, financial, and retirement benefits, as well as paid leave and professional development.
Matching Summary
Match Score: 75
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Booz Allen Hamilton is seeking a Machine Learning Engineer with over five years of experience in artificial intelligence and machine learning to join their defense technology team. The ideal candidate will possess strong programming skills, particularly in Python, and have experience in developing and deploying machine learning models, while also holding a Secret clearance.
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Salary
$99,000.00 to $225,000.00 (annualized USD); Not specified; Not specified
Skills & Requirements
Must-have
Machine learning model development and deployment
Python coding and libraries
Deep learning, computer vision, or generative AI
Supervised and unsupervised learning
Data handling and model development
Secret clearance required
Nice-to-have
Generative and agentic AI technologies
Scalable data stores for big data
Software for data retrieval and processing
Collaborate with diverse technical teams
Key Requirements
5+ years of AI/data science/ML engineering experience
3+ years of Python coding experience
Experience with deep learning, computer vision, or generative AI
Experience with supervised and unsupervised learning