Job Requirements
Annapolis Junction, MD
Top Secret/SCI Full Scope Polygraph
Senior Level Career (10+ 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:
• Implement and refactor data pipelines at scale for efficiency and correctness.
• Monitor and improve existing data science tools for production systems.
• Design, implement, and enhance ML analytics using Python, PyTorch, and other libraries.
• Integrate GitOps for continuous integration and deployment with Docker and Kubernetes.
• Leverage AWS services such as EC2, S3, and RDS for building and deploying applications.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 14+ years
• Total Compensation: $303k+ yearly
Job Description:
• Implement data pipelines at scale, including synthesizing new pipelines and refactoring existing ones to improve efficiency and code correctness.
• Monitor and improve existing data science tools in support of transition from development to production systems.
• Design, implement, and enhance ML analytics using a wide variety of Python libraries including PyTorch, NumPy, Pandas, and Scikit-learn.
• Train, test, track, and curate models using standard tools and practices.
• Integrate GitOps for continuous integration and deployment of models using Docker and Kubernetes scaling.
• Utilize AWS services such as EC2, S3, and RDS for building and deploying applications.
• Integrate model and tool outputs within Computer Network Defense (CND) systems and/or software tools to enhance, implement, and maintain Security Management/Monitoring services.
• Document all processes and code; provide comprehensive reports on completed tasks.
• Key skills include: Dataflow, Python, PyTorch, Docker, AWS, Kubernetes, Data Science, Machine Learning/Artificial Intelligence, Git, Continuous Integration, DevOps.
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:
• Implement and refactor data pipelines at scale for efficiency and correctness.
• Monitor and improve existing data science tools for production systems.
• Design, implement, and enhance ML analytics using Python, PyTorch, and other libraries.
• Integrate GitOps for continuous integration and deployment with Docker and Kubernetes.
• Leverage AWS services such as EC2, S3, and RDS for building and deploying applications.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 14+ years
• Total Compensation: $303k+ yearly
Job Description:
• Implement data pipelines at scale, including synthesizing new pipelines and refactoring existing ones to improve efficiency and code correctness.
• Monitor and improve existing data science tools in support of transition from development to production systems.
• Design, implement, and enhance ML analytics using a wide variety of Python libraries including PyTorch, NumPy, Pandas, and Scikit-learn.
• Train, test, track, and curate models using standard tools and practices.
• Integrate GitOps for continuous integration and deployment of models using Docker and Kubernetes scaling.
• Utilize AWS services such as EC2, S3, and RDS for building and deploying applications.
• Integrate model and tool outputs within Computer Network Defense (CND) systems and/or software tools to enhance, implement, and maintain Security Management/Monitoring services.
• Document all processes and code; provide comprehensive reports on completed tasks.
• Key skills include: Dataflow, Python, PyTorch, Docker, AWS, Kubernetes, Data Science, Machine Learning/Artificial Intelligence, Git, Continuous Integration, DevOps.
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