Senior ML Engineer — Production ML & Cloud (Sydney)

Allura Partners; Sydney; Hybride; AUD 150 000 - 200 000; Plein temps

Avantages offerts par ce poste

Bonus scheme

Autonomy to lead initiatives

Collaborative team

Résumé du poste

Allura Partners is seeking a Senior Machine Learning Engineer for a permanent role in Sydney. You will design, build and automate ML pipelines and production systems, collaborating with data scientists and engineers to deliver reliable, scalable solutions in a hybrid Sydney setup.

You will own the ML lifecycle end-to-end, from data ingestion to deployment, leveraging Python, APIs, CI/CD, and cloud-based infrastructure. A strong product mindset and proactive problem-solving approach are essential.

Qualifications

• Production ML systems experience from POC to production.
• Strong Python skills with ML/data libraries.
• End-to-end ML lifecycle understanding.
• APIs, CI/CD, testing and deployment automation.
• Public cloud experience and IaC/tools like Terraform.
• Knowledge of Docker and Kubernetes.
• Product mindset focused on business value.
• Curious and pragmatic, communicates when unsure.

Responsabilités

• Develop and refine predictive and forecasting models that feed directly into customer decision-making.
• Build and scale optimisation frameworks to solve complex, constraint-based problems.
• Design and maintain scalable backend services, APIs and data layers in Python.
• Architect event-driven cloud infrastructure using infrastructure-as-code and automated orchestration.
• Take POCs through to production with clean, well-tested code and strong CI/CD practices.

Connaissances

Python

ML pipelines

Production systems

APIs

CI/CD

Terraform

Docker

Kubernetes

ML lifecycle

Data libraries

Outils

Terraform

Docker

Kubernetes

Description du poste

Allura Partners is seeking a Senior Machine Learning Engineer for a permanent role in Sydney. You will design, build and automate ML pipelines and production systems, collaborating with data scientists and engineers to deliver reliable, scalable solutions in a hybrid Sydney setup.

You will own the ML lifecycle end-to-end, from data ingestion to deployment, leveraging Python, APIs, CI/CD, and cloud-based infrastructure. A strong product mindset and proactive problem-solving approach are essential.