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4 месяца назад

Senior Ml Operations (MLOps) Engineer (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France, UK, US, Spain, Australia, Denmark, Netherlands, Sweden, Italy, Canada, Germany, Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior ML Operations (MLOps) Engineer (AI): Designing and implementing cutting-edge ML technologies, integrating them into products and processes to enable the future of health monitoring with an accent on robust ML infrastructure. Focus on optimizing compute, storage, and deployment resources across training and inference.

Location: Remote

Company

hirify.global is the world’s first sleep fitness company with a mission is to fuel human potential through optimal sleep.

What you will do

  • Introduce and implement cutting-edge ML technologies, integrating them into products and processes.
  • Own design and operation of robust ML infrastructure, building scalable data, model, and deployment pipelines.
  • Partner with R&D, firmware, data, and backend teams to ensure ML inference operates reliably and scales.
  • Drive cost-effective, scalable, and high-performance ML systems by optimizing compute, storage, and deployment resources.
  • Develop tooling, micro services, and frameworks to streamline data processing, experimentation, and deployment.
  • Ensure clear and direct communication in a remote work environment.

Requirements

  • 5+ years of software engineering experience with a focus on ML infrastructure, distributed systems, or large-scale data processing in Python.
  • Hands-on experience with ML workflow orchestration and CI/CD pipelines for model deployment.
  • Demonstrated success shipping ML models to production at scale, handling telemetry, monitoring, and feedback loops.
  • Strong experience with AWS or equivalent cloud platforms for serving and monitoring ML systems.
  • A fast-paced, collaborative, and iterative approach to tackling complex problems.

Nice to have

  • Expertise in real-time ML workflows and streaming systems.
  • Demonstrated expertise in optimizing ML infrastructure for efficiency, latency, and cloud cost at scale.
  • Understanding of secure ML operations, privacy practices, and compliance considerations.
  • Familiarity with health, wellness, or IoT domains.

Culture & Benefits

  • Work in a culture of excellence where innovation is standard.
  • Take on substantial responsibilities with direct impact on core business and product success.
  • Collaborate with exceptional talent in a dynamic, fast-paced environment.
  • Receive equitable compensation and continuous equity investment.
  • Full access to health, vision, and dental insurance for you and your dependents.
  • Enjoy flexible PTO and paid parental leave.

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