Job Requirements
Annapolis Junction, MD
Intel Agency (NSA, CIA, FBI, etc) Full Scope Polygraph
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.
Summary:
• Contribute to Natural Language Processing (NLP) projects, leveraging expertise in Human Language Processing (HLP).
• Execute advanced language data tokenization and develop automated annotation solutions.
• Enhance and refine existing Machine Learning/Artificial Intelligence (ML/AI) models by rigorously evaluating performance against human-generated benchmarks.
• Apply Data Science methodologies to drive continuous improvement in language processing capabilities.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 10+ years
• Salary: $231k+ yearly compensation
Job Description:
• Lead the implementation and support of Natural Language Processing (NLP) initiatives.
• Perform detailed language data tokenization and prepare data for model training.
• Design, develop, and deploy automated solutions for efficient language data annotation, utilizing Machine Learning (ML) techniques.
• Conduct rigorous performance evaluations of existing AI/ML models, comparing outputs against high-quality human annotations.
• Utilize Data Science principles to analyze model performance metrics and identify areas for optimization.
• Collaborate with cross-functional teams to integrate Human Language Processing (HLP) insights into broader projects.
• Develop strategies for continuous model improvement and data quality enhancement.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
Summary:
• Contribute to Natural Language Processing (NLP) projects, leveraging expertise in Human Language Processing (HLP).
• Execute advanced language data tokenization and develop automated annotation solutions.
• Enhance and refine existing Machine Learning/Artificial Intelligence (ML/AI) models by rigorously evaluating performance against human-generated benchmarks.
• Apply Data Science methodologies to drive continuous improvement in language processing capabilities.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 10+ years
• Salary: $231k+ yearly compensation
Job Description:
• Lead the implementation and support of Natural Language Processing (NLP) initiatives.
• Perform detailed language data tokenization and prepare data for model training.
• Design, develop, and deploy automated solutions for efficient language data annotation, utilizing Machine Learning (ML) techniques.
• Conduct rigorous performance evaluations of existing AI/ML models, comparing outputs against high-quality human annotations.
• Utilize Data Science principles to analyze model performance metrics and identify areas for optimization.
• Collaborate with cross-functional teams to integrate Human Language Processing (HLP) insights into broader projects.
• Develop strategies for continuous model improvement and data quality enhancement.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
group id: 10527119