Responsibilities
Provide technical leadership and hands-on guidance to data scientists and ML engineers on architecture, tooling, debugging, and production design.
Architect the transition from data science experimentation to reproducible, productionized machine learning systems.
Establish shared patterns for model deployment, versioning, release management, and reusable ML assets.
Build closed-loop experimentation using live model telemetry to guide future model refinement.
Optimize ML infrastructure and model-serving costs through rightsizing, caching, and spend visibility.
Identify and remediate dependency, access, credential, and secure-deployment risks in partnership with security teams.
Support engineer growth through pairing, technical guidance, and constructive code and design review.

Requirements
5+ years of experience across MLOps, DevOps, or software engineering.
Strong experience building, shipping, and maintaining machine learning systems on AWS, including SageMaker, EC2, EKS, or Lambda.
Strong understanding of the end-to-end data science lifecycle and productionizing machine learning models at scale.




Knowledge of MLOps tooling, CI/CD practices, model registries, and orchestration platforms such as Metaflow, MLflow, Terraform, and Kubernetes.
Proven experience building event-driven or distributed systems using modular, abstracted, reusable engineering approaches.
Experience with cloud cost optimization, infrastructure security, and IAM/access management.
Commitment to clean code, continuous improvement, collaboration, and technical leadership.

Advantages
Hybrid working combining remote work with in-person collaboration.
Versatile working arrangements, including part time options.
24 weeks of paid parental leave for primary caregivers.
Four weeks of paid secondary caregivers leave and paid family and fertility planning leave.
Flexible policies and leave options supporting employee wellbeing.
Support from an engaged, high-performing team and leadership with regular face time.
Successful candidates must complete a National Police Record check and have full-time Australian working rights.

📌 Senior Mlops Engineer Melbourne
🏢 Carsales.Com
📍 Melbourne