Artificial Intelligence / Machine Learning Engineer 2
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The role
Design, develop, and deploy AI/ML models to address mission-critical challenges.
Select datasets, perform statistical analysis, train and retrain models, and drive performance improvements.
Prototype and productize AI/ML algorithms with attention to data quality and seamless system integration.
Lead iterative verification and validation to meet requirements and handle data distribution shifts.
Collaborate with software engineering to translate data science work into scalable, robust solutions.
Requires active Top Secret/SCI clearance with polygraph; five years of ML deployment experience and an advanced degree (MS/PhD); a Bachelor's plus five years can substitute for a Master's.
Select datasets, perform statistical analysis, train and retrain models, and drive performance improvements.
Prototype and productize AI/ML algorithms with attention to data quality and seamless system integration.
Lead iterative verification and validation to meet requirements and handle data distribution shifts.
Collaborate with software engineering to translate data science work into scalable, robust solutions.
Requires active Top Secret/SCI clearance with polygraph; five years of ML deployment experience and an advanced degree (MS/PhD); a Bachelor's plus five years can substitute for a Master's.
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