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Роль дает старший уровень ответственности за production ML-системы и проекты в сфере ответственного ИИ, с понятными техническими и клиентскими задачами; консалтинговый формат предполагает работу с разными проектами и отраслями.
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Современный стек
Ответственный ИИ
Техническое лидерство
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Текст:
Hirify AI/Оригинал
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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