Senior Python ML Engineer [$303k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.
Jessup, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 303K

Job location

Jessup, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Continuous Integration
DevOps
Data Flow Control
Python
Network Security
Machine Learning
NumPy
Software Tools
Software Deployment
PyTorch
GIT
Pandas
Amazon Web Services (AWS)
Scikit Learn
Kubernetes
Data Pipelines
Docker

Job description

  • 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., * 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.

Requirements

  • Degree: Technical bachelor's degree or equivalent experience
  • Years of experience: 14+ years
  • Total Compensation: $303k+ yearly

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