MLE/SMLE Template (AI)

Location: Hybrid in Sydney or Melbourne, Australia

Company

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

What you will do

• Build and deploy production-grade machine learning software, tools, and infrastructure.
• Create reusable and scalable solutions that accelerate ML system delivery.
• Collaborate with engineers, data scientists, and commercial leads to solve critical client challenges.
• Lead technical scoping and architectural decisions to assess project feasibility and impact.
• Define and implement standards for deploying machine learning at scale.
• Advise customers and partners by translating complex ML concepts for stakeholders.

Requirements

• Understand the full machine learning lifecycle and have experience operationalising models built with Scikit-learn, TensorFlow, or PyTorch.
• Strong Python skills and solid software engineering best practices.
• Hands-on experience with cloud platforms and infrastructure such as AWS, Azure, or GCP, including architecture and security.
• Experience with Docker and Kubernetes for building and managing applications at scale.
• Understanding of core machine learning concepts, including probability, statistics, and common learning techniques.
• Excellent communication skills, with the ability to guide technical teams and advise non-technical stakeholders.
• Comfort working in a fast-paced environment with autonomy to own scope, solve problems, and deliver solutions.

Culture & Benefits

• Full-time hybrid role based in Sydney or Melbourne.
• Open to conversations about part-time hours.
• Applications are reviewed by a human, and AI may be used for research and interview preparation but not to generate answers during live interviews.
• Diversity of backgrounds, perspectives, and experiences is strongly encouraged.

Hiring process

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