ML Systems Engineer: Scale AI & MLOps

Nearmap; Melbourne; Hybrid; AUD 80,000 - 100,000; Full time

Benefits offered by this job

Quarterly wellbeing day off

Access to LinkedIn Learning

Wellbeing and technology allowance

Annual flu vaccinations

Hybrid flexibility

In-office lunch every Tuesday and Thursday

Showers available for cyclists

Job summary

A global tech pioneer in location intelligence is seeking a Software Engineer to build and operate machine learning infrastructure on Kubernetes. The role involves creating tools for the ML lifecycle and implementing best practices for automation and reliability. Ideal candidates have a Bachelor’s degree in Computer Science, strong Python skills, and experience with Docker and Kubernetes. This position offers hybrid work flexibility and various employee benefits.

Qualifications

• 2+ years of experience in software engineering, writing production-grade code.
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
• Strong proficiency in Python within a Linux/Unix environment.

Responsibilities

• Design, build, and operate ML infrastructure on Kubernetes.
• Create tooling for the end-to-end ML/LLM lifecycle.
• Implement MLOps principles to improve automation and reliability.

Skills

Python

Kubernetes

Docker

CI/CD

Linux/Unix

Education

Bachelor’s degree in Computer Science or related field

Tools

Terraform

Prometheus

Grafana

Job description

A global tech pioneer in location intelligence is seeking a Software Engineer to build and operate machine learning infrastructure on Kubernetes. The role involves creating tools for the ML lifecycle and implementing best practices for automation and reliability. Ideal candidates have a Bachelor’s degree in Computer Science, strong Python skills, and experience with Docker and Kubernetes. This position offers hybrid work flexibility and various employee benefits.