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

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States (Remote available)
- **Experience:** Expert
- **Salary:** $290,000.0
- **Contract:** Permanent contract
- **Skills:** Business Logic, Software Documentation, Code Reuse, Continuous Integration, Python (Programming Language), Machine Learning, Software Deployment, Scripting, Delivery Pipeline, Reliability of Systems, Kubernetes, Bug Reporting, Triton Inference Server, TensorRT, Text Analysis, Docker
- **Published:** October 15, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9236080/senior-ml-deployment-engineer-290kyr-tssci-fs-poly

## About the Role

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

## 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.