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AI / Machine Learning / Large Language Model Engineer - Pipeline
Career Insights for Machine Learning Engineer
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$124,952 / year median in Maryland
Job Description
TS/SCI FS
poly required.
•This is a pipeline position for an anticipated new contract, with staffing expected to begin in November 2026. Employment opportunities are contingent upon final staffing requirements. Applications are being accepted in advance to identify qualified candidates for potential openings.
• Description Focuses on the development and implementation of artificial intelligence, machine learning, and large language model systems. This involves designing, building, and deploying AI-powered applications, often working with complex data pipelines, machine learning models, and large language models. These engineers often bridge the gap between research and practical application, ensuring AI solutions are robust, scalable, and aligned with business needs.
Requirements TBD Clearance Required:
TS/SCI with Full-Scope polygraph