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2 часа назад

Machine Learning Engineer

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Brazil
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

Machine Learning Engineer (Data Science): Bridging the gap between data science and production systems by deploying and maintaining ML models with an accent on real-time sensor data processing and reliable service architecture. Focus on optimizing inference pipelines, implementing robust monitoring, and scaling diagnostics for industrial equipment.

Location: Remote (Brazil)

Company

hirify.global is an industrial technology company transforming maintenance through a platform that integrates hardware and software to deliver actionable intelligence.

What you will do

  • Deploy and maintain machine learning models developed by the data science team.
  • Design and implement APIs and real-time inference services for industrial diagnostics.
  • Process and analyze large-scale time-series datasets from vibration and sensor systems.
  • Improve the performance, reliability, and scalability of model serving pipelines.
  • Monitor system health, implementing logging, alerting, and fallback mechanisms.
  • Contribute to architectural decisions and collaborate across cross-functional teams.

Requirements

  • 2–4+ years of experience in software or machine learning engineering.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • Solid background in mathematics, statistics, and machine learning concepts.
  • Strong Python skills and experience with libraries like scikit-learn or PyTorch.
  • Proven experience deploying models in production environments.
  • Familiarity with event-driven platforms and message queues such as Kafka or Redis Streams.

Nice to have

  • Experience with containerization (Docker) and cloud deployment.
  • Exposure to real-time or low-latency systems.
  • Interest in optimizing inference latency and resource usage.

Culture & Benefits

  • Competitive salary and stock options.
  • 30 days of paid annual leave.
  • Education and courses stipend for professional development.
  • Travel incentive: earn a trip anywhere in the world every 4 years.
  • Comprehensive health plan with national coverage and no coparticipation.
  • Wellhub and sports incentive program.

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