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# Machine Learning - Senior Software Engineer - Python, DevOps

- **Company:** Erias Ventures, LLC
- **Location:** Annapolis Junction, MD, United States (Remote available)
- **Experience:** Expert
- **Salary:** $232,000.0 - $255,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Business Logic, Computer Vision, C++ (Programming Language), Software Documentation, Code Reuse, Nvidia CUDA, Continuous Integration, DevOps, Health Information Systems (HIS), Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Software Deployment, Software Engineering, Video Editing, Speech Recognition, Workflow Management Systems, Scripting, Containerization, Kubernetes, Bug Reporting, Information Technology, ONNX (Open Neural Network Exchange) Format, Triton Inference Server, Machine Learning Operations, TensorRT, Text Analysis, Docker, Golang
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-senior-software-engineer-python-devops-annapolis-junction-md--417203d1-3fe7-4a01-87aa-cd87fc25d29a

## About the Role

Machine Learning, Software Engineering, Python Programming/Scripting Language, DevOps, Entrepreneurship, Communication Skills, Problem Solving Skills, Veterans Health Information Systems Technology Architecture (VISTA), Prototyping, Cross-Functional, A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Experience
Fourteen (14) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four additional (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor's degree.

Required skills:

 * Strong Python experience
 * Solid understanding of DevOps practices and CI/CD pipelines
 * Intermediate/Advanced experience with containerization (Docker) container creation and performance optimization
 * Beginner/Intermediate experience with orchestration tools such as Kubernetes
 * Experience taking projects from prototype to production
 * Strong communication skills for technical and non-technical audiences
 * Self-motivated with ability to work independently and collaboratively

Desired skills:

 * Software Development experience: C++, Java, GoLang, CUDA
 * Experience supporting production ML systems
 * Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
 * Knowledge of model formats and optimization (ONNX, TensorRT)

## Description

ML Deployment Engineer moves video,image,speech,and text analytics (VISTA)models from research prototype to production inference services that downstream engineering teams can run in Kubernetes or similar environments. You will work individually or as part of a small research/SDK team to:

 * Collaborate cross-functionally working directly with end users to understand requirements and with researchers to align development with real-world neds.
 * Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT execution providers and Business Logic Scripting (BLS) in-service pipelines.
 * Tune pipelines for throughput, and support them through customer transition.
 * Review and test software components against design requirements.
 * Create comprehensive user documentation and establish deployment best practices.
 * Resolve system problem reports and contributes to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and requirements analysis from the system level down to individual components.