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

SYSTOLICAnnapolis Junction, MD🇺🇸United StatesPosted Oct 13, 2026

Why This Role Stands Out

Leverage your expertise in ML deployment to build scalable production services and directly impact critical missions, with a highly competitive compensation package of $290k+ annually. This role is ideal for experienced engineers with a TS/SCI-FS Poly clearance who thrive on transitioning complex models into robust systems within a collaborative environment. Embrace this opportunity to advance your career in a role offering significant technical challenges and professional growth.

Quick Overview

Salary

$290k/yr

Seniority

Mid Senior

Employment type

Employee

Work mode

Remote

Location

Annapolis Junction, MD, United States

Posted

6 days ago

DockerMachine LearningKubernetesPython

Job Description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.

Summary: • 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.

Qualifications && Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 14+ years • Total Compensation: $290k+ yearly Job Description: • 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.

Telework: This position allows for up to 25% telework.

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