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2 дня назад

Senior Machine Learning Engineer (AI)

Формат работы
hybrid
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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TL;DR
Senior Machine Learning Engineer (AI): Leading the development and deployment of scalable, production-grade ML software and infrastructure for diverse clients with an accent on technical scoping, architecture, and responsible AI delivery. Focus on operationalising TensorFlow and PyTorch models, building cloud-native systems with Docker and Kubernetes, and advising clients on complex machine learning strategies.

Location: Sydney, Australia; hybrid workplace

Company

hirify.global develops and deploys responsible AI solutions for clients across government, finance, retail, energy, life sciences, and defence.

What you will do

  • Lead technical scoping and architectural decisions for high-impact machine learning systems.
  • Design and build production-grade ML software, tools, and scalable infrastructure.
  • Define and implement standards and best practices for deploying machine learning at scale.
  • Collaborate with engineers, data scientists, product managers, and commercial teams to solve client challenges.
  • Advise customers and partners by translating complex technical concepts into actionable strategies.
  • Mentor junior engineers and shape engineering culture and technical depth.

Requirements

  • Significant experience across the full machine learning lifecycle, including operationalising models built with TensorFlow or PyTorch.
  • Deep software engineering expertise and strong Python skills, with a focus on robust, reusable systems.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including architecture, security, and infrastructure.
  • Extensive experience with Docker and Kubernetes for building and managing applications at scale.
  • Ability to take ownership and work autonomously in fast-paced, high-growth environments.
  • Excellent communication skills and confidence guiding technical teams and senior non-technical stakeholders.

Culture & Benefits

  • Work on responsible AI systems with measurable impact across multiple industries.
  • Collaborate in a cross-functional environment with engineers, data scientists, product managers, commercial teams, customers, and partners.
  • Supportive and inclusive recruitment ethos focused on diversity of thought and positive technological impact.
  • Part-time hours may be discussed.
  • AI tools may be used for research and interview preparation, but not to generate answers during live interviews.

Hiring process

  • Talent Team Screen: 30 minutes.
  • Pair Programming Interview: 90 minutes; System Design Interview: 90 minutes.
  • Commercial Interview: 60 minutes.

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