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Senior Python ML Engineer [$303k/yr+] TS/SCI-FS Poly
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SYSTOLIC
Annapolis Junction, MD (In Person)
$303,000 Salary, Full-Time
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Job Description
Job Requirements Annapolis Junction, MD Top Secret/SCI Full Scope Polygraph Senior Level Career (10+ yrs experience) Salary not specified Join Premium to unlock estimated salaries 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+ yearlyJob 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.