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7 дней назад

MLOps Engineer (AI)

100 000 - 150 000$
Формат работы
remote (только USA)
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
MLOps Engineer (AI): Building and operating high-performance inference platforms for large language models, vision models, and recommendation systems with an accent on request routing, batching, autoscaling, GPU utilization, and observability. Focus on optimizing latency, throughput, cost, and reliability through distributed systems engineering, deployment automation, security controls, and incident response.

Location: 100% remote within the Continental United States

Salary: $100K–$150K annually

Company

hirify.global is a software development company building scalable, secure, and user-friendly solutions that automate and optimize business operations.

What you will do

  • Design and operate model-serving platforms for LLMs, vision models, and recommendation systems.
  • Optimize inference performance through continuous batching, paged attention, speculative decoding, request multiplexing, caching, and prompt deduplication.
  • Build multi-tenant routing, rate limiting, quality-of-service policies, autoscaling, and capacity management systems.
  • Tune GPU utilization, memory management, and KV-cache strategies for large-model serving workloads.
  • Integrate serving platforms with API gateways, identity systems, observability tools, and security controls.
  • Develop canary releases, shadow testing, automated rollback, incident response procedures, and reliability improvements for high-availability AI services.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • 6+ years of experience in distributed systems, infrastructure, or ML platform engineering.
  • Strong proficiency in Python and a systems language such as Go, Rust, or C++.
  • Experience operating high-throughput, low-latency production services and large-model inference frameworks such as vLLM or TensorRT-LLM.
  • Strong understanding of GPU architecture, memory hierarchies, accelerator utilization, performance engineering, and capacity planning.
  • Experience with Kubernetes, autoscaling, cloud platforms, observability stacks, communication, and incident response.

Nice to have

  • Open-source contributions to model-serving infrastructure.
  • Experience with multi-region or globally distributed AI serving.
  • Knowledge of model quantization, distillation, compression, FinOps, or external-facing AI APIs.

Culture & Benefits

  • Full-time direct W2 employment with hirify.global.
  • In-house Statement of Work engagement with no third-party client, vendor, or implementation partner.
  • No C2C or 1099 arrangements.
  • No new H1B sponsorship is available; qualified candidates with a valid H1B may receive transfer support.
  • Career growth opportunity within an established software development organization.

Hiring process

  • A technical coding assessment is mandatory.
  • Applications are submitted with a resume for consideration.

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