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Senior ML Deployment Engineer [$290k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.
Annapolis Junction, MD, United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$290,000.0
Working hours
Regular working hours
Job source
www.clearancejobs.com

Tech stack

Business Logic Software Documentation Code Reuse Continuous Integration Python (Programming Language) Machine Learning Software Deployment Scripting Delivery Pipeline Reliability of Systems Kubernetes Bug Reporting
+4 more
Triton Inference Server TensorRT Text Analysis Docker

Job description

  • Deploy machine learning models from prototype to production inference pipelines.
  • Build CI/CD and containerized packaging around Python using Triton Inference Server, Docker, and Kubernetes.
  • Transition video, image, speech, and text analytics models into scalable production services., * Move video, image, speech, and text analytics models from research prototype to production inference services running in Kubernetes environments.
  • Collaborate cross-functionally with researchers and end users to understand requirements and align deployment workflows.
  • Build CI/CD pipelines and packaging around Python on NVIDIA Triton Inference Server, leveraging TensorRT execution providers and Business Logic Scripting.
  • Tune inference pipelines for throughput and support customer transitions.
  • Review and test software components against design requirements to ensure system reliability.
  • Create comprehensive user documentation and establish deployment best practices.
  • Resolve system problem reports and contribute to system design, hardware/software trade-offs, software reuse, and infrastructure-as-code.

Requirements

  • Degree: Technical bachelor’s degree or equivalent experience
  • Years of experience: 14+ years
  • Total Compensation: $290k+ yearly

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