Machine Learning - Senior Software Engineer - Python, DevOps

Erias Ventures; Maryland; Hybrid; USD 232,000 - 255,000; Full time

Benefits offered by this job

Above Market Pay

401k with immediate vesting

Bonuses for business development

Professional development support

Company paid health insurance

Job summary

Erias Ventures is seeking an ML Deployment Engineer in the United States to move models from research to production inference services that run in Kubernetes or similar environments. You will work with a small research/SDK team and end users to align development with real‑world needs.

The role requires 14+ years SWE experience, a TS/SCI clearance with polygraph, and a Bachelor’s degree in CS; partial telework is available and you will help deploy robust, scalable ML pipelines.

Qualifications

• Must have strong Python experience and DevOps/CI‑CD expertise.
• Experience taking projects from prototype to production.
• Excellent communication for technical and non‑technical audiences.
• Self‑motivated with the ability to work both independently and collaboratively.

Responsibilities

• Collaborate with end users and researchers to understand requirements.
• Build CI/CD and packaging around Python on NVIDIA Triton Inference Server with TensorRT.
• Tune pipelines for throughput and support deployment transitions.
• Review and test software components against design requirements.
• Create user documentation and deployment best practices.
• Contribute to system design, including infrastructure-as-code and hardware/software trade-offs.

Skills

Python

CI/CD

Production deployment

Communication

Self-motivation

Education

Bachelor's degree in Computer Science or related discipline

Tools

Docker

Kubernetes

TensorRT

ONNX

CUDA

NVIDIA Triton Inference Server

Job description

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas.

Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.

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.

This position is eligible for partial telework.

Clearance

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)

Benefits

Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $232,000 - $255,000.

Wealth Benefits

• Above Market Hourly Pay
• 11% Roth or Traditional 401k with Immediate Vesting and Deposit
• Spot Bonuses for Assisting with Business Development and Company Growth
• Professional Development Bonuses for Certificates and Degrees

Health Benefits:

• Company subsidized Medical Coverage
• 100% Company Paid Vision and Dental Coverage
• 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance
• Monthly Wellness Reimbursement

Happiness Benefits:

• Paid Time Off with Flexible Work Schedules and Birthday Off
• Amazon Prime Membership and Monthly Internet Reimbursement
• Technology and Productivity Allowance for Equipment and Supplies
• Morale Building and Company Events to Celebrate our Successes and Build our Community
• Onboarding and Annual Swag
• Company Paid Professional Development and Training

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

To learn more about our company visit our webpage or LinkedIn.