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13 дней назад

Senior Software Engineer - Model Platform (AI)

Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
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
Senior Software Engineer - Model Platform (AI): Building model serving infrastructure, real-time data pipelines, online feature serving services, and ML training platforms for an advanced detection engine with an accent on scalability, high-throughput processing, and ML engineering enablement. Focus on scaling distributed systems to 10x current traffic, supporting feature serving at 50K+ QPS, and improving offline/online equivalency and model training workflows.

Location: Remote - Canada

Company

hirify.global develops technology for detecting and stopping previously undetectable email and cloud-based attacks.

What you will do

  • Architect, build, deploy, and maintain model serving infrastructure for the Detection Engine.
  • Scale model serving and data processing services to support 10x current traffic.
  • Build platform capabilities for detecting rapidly generated AI attacks.
  • Develop real-time and near-real-time streaming pipelines and online feature serving services.
  • Build the ML training platform to improve MLE velocity and product precision and recall.
  • Collaborate with machine learning engineering and data science teams, and mentor junior engineers.

Requirements

  • 5+ years of experience as a Software Engineer or in a similar role, including hands-on ML engineering solutions.
  • Experience maintaining large-scale distributed systems on AWS, GCP, or Azure.
  • Experience with high-scale real-time and near-real-time data pipelines or streaming services.
  • Familiarity with ML workflows, feature development and serving at 50K+ QPS, offline/online equivalency, and large batch jobs for training tree and deep learning models.
  • Experience with streaming data architectures, real-time processing, security, and data privacy compliance.
  • Strong collaboration, communication, problem-solving, and independent execution skills.

Culture & Benefits

  • Remote work from Canada.
  • Ownership-oriented role with direct impact on detection technology and ML platform capabilities.
  • Collaborative work with data scientists, machine learning engineers, product managers, and other stakeholders.
  • Structured mentoring through one-on-ones, pair programming, code reviews, and design reviews.

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