DescriptionML 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.ClearanceA current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
ExperienceFourteen (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)
BenefitsErias 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 andMonthly 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
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$10,000 for each successful hire.
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[email protected] To learn more about our company visit our webpage or LinkedIn. 
