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3 часа назад

ML Ops Engineer (AI)

180 000 - 210 000$
Формат работы
onsite
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
ML Ops Engineer, Engineering Services (AI): Building shared production ML deployment, monitoring, and observability infrastructure for autonomous security, detection, digital twin, and OpenExO programs with an accent on scalable model operations, data pipelines, and cross-team platform enablement. Focus on establishing MLOps standards, detecting model drift, and supporting reliable deployment across robotics and computer vision products.

Location: Full-time, on-site at Sunnyvale HQ, Sunnyvale, California, United States

Base salary: $180,000–$210,000 per year, depending on experience

Company

hirify.global is a security technology company developing autonomous security machines, AI-driven software, and managed security services.

What you will do

  • Build production ML deployment, monitoring, and observability pipelines across multiple programs.
  • Own shared MLOps infrastructure for K7 autonomy, Signals ICM 2.0 detection, Digital Twin, and OpenExO.
  • Absorb and develop the required data pipeline scope.
  • Partner with Signals ML/CV Engineers on ICM 2.0 production infrastructure.
  • Partner with K7 ML Engineers on autonomy model deployment.
  • Establish MLOps standards and SDLC practices through the Center of Engineering Excellence.

Requirements

  • 7+ years of experience in ML infrastructure or MLOps engineering.
  • Strong experience productionizing machine learning models at scale.
  • Experience with model monitoring, drift detection, and observability.
  • Data pipeline engineering experience.
  • Ability to support multiple product teams through shared infrastructure.
  • Must work full-time on-site at the Sunnyvale headquarters.

Nice to have

  • Robotics or autonomy model deployment experience.
  • Computer vision model production experience.
  • Experience establishing an MLOps function from scratch.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • 401(k) plan.
  • Paid time off.
  • Stock options.

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