Job Requirements
Annapolis Junction, MD
Top Secret/SCI 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:
• Design, test, and productize cutting-edge machine learning and artificial intelligence algorithms to build high-performing predictive models.
• Utilize hands-on expertise in standard frameworks such as PyTorch and TensorFlow, with proficiency across Python, Java, C, or R.
• Manage the end-to-end model lifecycle, including training, validation, monitoring, and scaling data science prototypes into production.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 7+ years
• Total Compensation: $278k+ yearly
Job Description:
• Design, create, test, and productize AI/ML algorithms capable of learning and generating accurate predictions based on complex requirements.
• Develop and optimize model architectures, interact with data pipelines, and establish metrics for model interpretation and presentation.
• Train, retrain, deploy, schedule, and monitor machine learning models through iterative system and user feedback.
• Convert data science prototypes into robust, scalable production solutions while maintaining software architecture and data modeling standards.
• Select appropriate datasets, execute statistical analyses, and identify variations in data distribution that impact performance.
• Execute standard test and evaluation protocols to verify and validate algorithmic outputs and ensure high data quality.
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:
• Design, test, and productize cutting-edge machine learning and artificial intelligence algorithms to build high-performing predictive models.
• Utilize hands-on expertise in standard frameworks such as PyTorch and TensorFlow, with proficiency across Python, Java, C, or R.
• Manage the end-to-end model lifecycle, including training, validation, monitoring, and scaling data science prototypes into production.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 7+ years
• Total Compensation: $278k+ yearly
Job Description:
• Design, create, test, and productize AI/ML algorithms capable of learning and generating accurate predictions based on complex requirements.
• Develop and optimize model architectures, interact with data pipelines, and establish metrics for model interpretation and presentation.
• Train, retrain, deploy, schedule, and monitor machine learning models through iterative system and user feedback.
• Convert data science prototypes into robust, scalable production solutions while maintaining software architecture and data modeling standards.
• Select appropriate datasets, execute statistical analyses, and identify variations in data distribution that impact performance.
• Execute standard test and evaluation protocols to verify and validate algorithmic outputs and ensure high data quality.
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