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5 часов назад

Senior AI Platform Engineer (Medtech)

180 000 - 200 000$
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

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TL;DR

Senior AI Platform Engineer (AI/ML Ops): Architecting and building robust AI/ML systems for production environments with an accent on distributed backend systems, microservices, and operational reliability. Focus on optimizing model training workflows, real-time inference, and developing tools for the complete ML lifecycle.

Location: Remote (USA)

Salary: $180,000 - $200,000

Company

hirify.global leverages AI Digital Twin technology to help people prevent and improve chronic metabolic diseases, such as type 2 diabetes and obesity.

What you will do

  • Architect and design robust AI/ML systems for production, focusing on distributed backend systems and microservices.
  • Lead cross-functional initiatives end-to-end, coordinating between Data, Infrastructure, and ML Engineering teams.
  • Optimize workflows for model training, real-time inference, monitoring, and troubleshooting in collaboration with AI/ML engineers.
  • Serve as the subject matter expert on ML infrastructure, enforcing SLAs for latency, throughput, and resource utilization.
  • Develop tools for model management and continuous monitoring to improve the overall ML lifecycle.
  • Mentor team members and promote a culture of continuous learning.

Requirements

  • 5+ years of industry experience with a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Must be based in the USA.
  • Experience with architectural frameworks of large-scale, distributed ML applications.
  • Proficiency in Python, with additional experience in Java or Go.
  • Strong expertise in deploying scalable ML models using Docker, Kubernetes, and microservices.
  • Solid understanding of MLOps, data structures, and software design principles.

Nice to have

  • Experience implementing applications using LLMs and GenAI.
  • Knowledge of database technologies (SQL, NoSQL) and big data frameworks like Spark.

Culture & Benefits

  • Competitive compensation package with equity participation.
  • Unlimited vacation with manager approval.
  • 100% employer-sponsored healthcare, dental, and vision.
  • 401k retirement savings plan.
  • Comprehensive paid parental leave (16 weeks for delivering parents, 8 weeks for non-delivering).

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