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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 andMonthly InternetReimbursement
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. Referrals & Inquiries Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire. Not seeing the right position right now? Reach out to us, and we’ll notify you as new contracts and opportunities become available! Please send referrals and inquiries to: [email protected] To learn more about our company visit our webpage or LinkedIn.