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16 часов назад

Software Engineer 2 (ML Deployment)

64 - 120$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer 2 (ML Deployment) (Python/Kubernetes): Moves VISTA video, image, speech, and text analytics models from research prototypes into production inference services with an accent on CI/CD, containerization, and NVIDIA Triton deployment. Focus on tuning pipelines for throughput, building BLS in-service pipelines, supporting customer transition, and resolving system-level software and infrastructure challenges.

Location: Hybrid in Laurel, Maryland, with 25% telework. United States citizenship and an agency-appropriate security clearance, such as active TS/SCI with the required polygraph, are required.

Salary: $64.04–$120.27 per hour, before benefits.

Company

hirify.global provides technology and software solutions for federal government customers.

What you will do

  • Move video, image, speech, and text analytics models from research prototypes to production inference services.
  • Build Python CI/CD and packaging workflows for NVIDIA Triton Inference Server, TensorRT execution providers, and Business Logic Scripting pipelines.
  • Tune inference pipelines for throughput and support customer transition into production.
  • Collaborate with end users and researchers to translate requirements into practical software solutions.
  • Review and test software against design requirements, create user documentation, and establish deployment best practices.
  • Resolve system problem reports and contribute to system design, infrastructure-as-code, requirements analysis, and hardware/software trade-offs.

Requirements

  • TS/SCI security clearance with an agency-appropriate polygraph is required.
  • United States citizenship is required due to federal contract requirements.
  • Bachelor’s degree in Computer Science or a related discipline, or four additional years of comparable software development experience in lieu of the degree.
  • 14+ years of software engineering experience.
  • Strong Python skills, DevOps and CI/CD knowledge, and intermediate to advanced Docker experience.
  • Beginner to intermediate Kubernetes experience, production deployment experience, and strong communication skills.

Nice to have

  • C++, Java, Go, or CUDA development experience.
  • Experience supporting production machine learning systems.
  • Familiarity with natural language processing, computer vision, automated speech recognition, or video processing.
  • Knowledge of ONNX and TensorRT model formats and optimization.

Culture & Benefits

  • Automatic contribution of 20% of gross compensation to a fully vested SEP IRA.
  • Up to 200 hours of annual paid time off, with flexibility to adjust PTO allocation each year.
  • Medical, vision, dental, life, disability, HSA, and supplemental insurance options.
  • Employee referral bonuses of up to $10,000 and mobility among supported contracts.
  • Team-building events, including monthly lunches, a summer picnic, and an annual holiday party.

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