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Engineering Manager - Machine Learning

Melbourne, Melbourne Region💼 Full-time🗓 2026-04-26 → 2026-09-24

Core

Design, build, and scale AI-driven applications and machine learning systems for a SaaS business management platform serving small businesses in Australia and New Zealand.

Role type

Engineering Manager - Machine Learning (hands-on IC with team leadership)

Builds

AI-powered features for automated document understanding, financial forecasting, and conversational interfaces

Domain

SaaS business management / Small business accounting / Generative AI

Deliverable

production ML models

Required skills

Machine learning frameworks (TensorFlow, PyTorch), Large language models (LLMs) and foundation models, AWS cloud services (SageMaker, Bedrock), MLOps (CI/CD, model versioning, monitoring), Containerization (Docker, Kubernetes), Technical leadership and mentoring

Preferred skills

AWS Certified Machine Learning – Specialty

Technologies

TensorFlow, PyTorch, AWS SageMaker, AWS Bedrock, Docker, Kubernetes, GPT, Claude, Llama

Responsibilities

Design and implement machine learning systems from the ground up, Develop and deploy AI-powered features, Optimise AI systems for scalability and reliability, Lead projects from ideation to production

Seniority

Manager, hands-on IC with team leadership

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