The Role
Develop and productionize video, image, speech, and text analytics models as inference services. Build Python CI/CD pipelines and containerized deployments using NVIDIA Triton, TensorRT, Docker, and Kubernetes. Optimize pipeline throughput, support customer transitions, test software, document deployment practices, resolve system issues, and contribute to system-level design and infrastructure decisions.
Summary Generated by Built In
At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
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
25% Telework
***This position is eligible for a $5k bonus! (Includes 20% SEP IRA contribution)***
Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).
Capabilities
- 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.
Required Qualifications
- TS/SCI with agency appropriate poly
- Bachelor’s Degree in Computer Science or a related discipline.
- 14+ years of software engineering experience.
- Four (4) years of additional software development experience on comparable projects may be substituted for a bachelor's degree.
Required Technical 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 Technical 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)
The Benefits Package
- Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.
- Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.
- A Choice of Medical Plan Options, some with Health Savings Account (HSA)
- Vision and Dental
- Life and AD&D Benefits
- Short and Long-Term Disability
- Hospital Indemnity, Accident, and Critical Illness Insurances
- Optional Identity Theft and Legal Protection Services
Additional benefits include:
Full-time employees have the option to participate in a variety of voluntary benefit plans including:
Company Environment & Perks
- Employee Referral Bonus Eligibility up to $10,000
- Mobility Among Wyetech-supported Contracts
- Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
- Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.
- Employees receive two complementary branded clothing orders annually.
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Affirmative Action Statement:
Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
Accommodations:
Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or [email protected]. We are happy to provide reasonable accommodations to ensure equal access to all candidates.
Skills Required
- TS/SCI security clearance with agency-appropriate polygraph
- United States citizenship
- Bachelor’s degree in Computer Science or a related discipline
- 14 or more years of software engineering experience
- Four additional years of comparable software development experience may substitute for the bachelor’s degree
- Strong Python experience
- Understanding of DevOps practices and CI/CD pipelines
- Intermediate or advanced Docker container creation and performance optimization experience
- Beginner or intermediate experience with Kubernetes or similar orchestration tools
- Experience taking projects from prototype to production
- Strong communication skills for technical and non-technical audiences
- Ability to work independently and collaboratively
- Software development experience with C++, Java, Go, or CUDA
- Experience supporting production machine learning systems
- Familiarity with natural language processing, computer vision, automated speech recognition, or video processing
- Knowledge of ONNX, TensorRT, and model optimization
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The Company
What We Do
Wyetech offers quality engineering services in the fields of Software Engineering, Systems Engineering, Cloud Engineering, Data Analysis, and Cyber Security to federal and commercial customers. Wyetech has qualified employees in a broad spectrum of engineering disciplines; however, it is our quality that sets us apart from the rest. Candidates are internal referrals and are thoroughly scrutinized. The result of this has been tremendous, our customers recognize the level of quality and professionalism that Wyetech staff offer. Wyetech is always seeking new quality engineering talent. Please refer to our website for inquries and applications.
