Senior ML Engineer - Scalable ML Pipelines & MLOps

Mane Consulting; Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

Mane Consulting seeks a Senior Machine Learning Engineer to design, build and automate production-grade ML pipelines powering On's marketing programs. You will collaborate with data scientists, eng teams and product managers to deploy scalable, observable ML services across email, ads and app engagement.

You bring 6+ years delivering end-to-end ML systems, with Python, MLOps, and cloud deployment (GCP/AWS).

Qualifications

• 6+ years delivering complex ML systems and end-to-end pipelines.
• Experience deploying models to cloud environments (GCP/AWS).
• Proven ability to translate prototypes into scalable ML services.

Responsibilities

• Partner with data scientists to transform prototypes into robust ML services.
• Design, automate, and maintain data and model pipelines for scale and observability.
• Collaborate with cross-functional teams to align ML solutions with business needs.

Skills

Python

Deep Learning

ML pipelines

MLOps

Cloud deployment

Tools

Kubeflow

MLflow

Airflow

Docker

Kubernetes

GCP/AWS

Job description

Mane Consulting seeks a Senior Machine Learning Engineer to design, build and automate production-grade ML pipelines powering On's marketing programs. You will collaborate with data scientists, eng teams and product managers to deploy scalable, observable ML services across email, ads and app engagement.

You bring 6+ years delivering end-to-end ML systems, with Python, MLOps, and cloud deployment (GCP/AWS).