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10 часов назад

Senior Machine Learning Systems Engineer

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
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 Machine Learning Systems Engineer (AI Engineering): Develop and deploy robust machine learning systems and AI features for Jira products with an accent on fine-tuning large language models and building retrieval-augmented generation systems. Focus on designing end-to-end ML pipelines, mentoring junior engineers, and delivering scalable AI solutions impacting millions of users.

Location: Remote, based in Sydney, Australia or any country with hirify.global legal entity

Company

hirify.global develops software products that enable team collaboration worldwide, focusing on unleashing the potential of every team through innovative tools.

What you will do

  • Lead technical design and launch of machine learning projects.
  • Collaborate with software engineers, data scientists, and product managers to deliver impactful AI features.
  • Build and maintain end-to-end ML systems including data engineering, model serving, and monitoring.
  • Fine-tune open-source and proprietary large language models (LLMs) and develop retrieval-augmented generation (RAG) systems.
  • Implement MLOps practices, CI/CD pipelines, and automation for continuous training and deployment.
  • Mentor junior team members to grow technical expertise.

Requirements

  • Must have 4+ years of experience building machine learning and AI solutions.
  • Proven experience with end-to-end ML system development and deployment.
  • Expertise in GenAI frameworks, LLM fine-tuning, and RAG systems.
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Familiarity with Java and Kotlin is beneficial.
  • Ability to work remotely from any country where hirify.global has a legal entity.

Culture & Benefits

  • Flexible work location: office, home, or hybrid.
  • Support for family, personal goals, and community engagement.
  • Health and wellbeing resources and paid volunteer days.
  • Inclusive culture with commitment to diversity and equal opportunity.
  • Accommodations available during recruitment process.

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