GCP Data & MLOps Engineer β€” Remote Cloud Security in Canberra

GCP Data & MLOps Engineer β€” Remote Cloud Security in Canberra

Canberra Full-Time 56250 - 68750 $ / year (est.) Remote
S

At a Glance

  • Tasks: Design and operate data, AI/ML, and cloud-native solutions on GCP.
  • Company: Join Showtime Consulting, a leader in innovative cloud solutions.
  • Benefits: Enjoy remote work flexibility and opportunities for professional growth.
  • Other info: Collaborative team culture focused on innovation and defence-conscious projects.
  • Why this job: Make an impact in a fast-paced environment while working with cutting-edge technologies.
  • Qualifications: Experience with GCP, data pipelines, and MLOps best practices required.

The predicted salary is between 56250 - 68750 $ per year.

Showtime Consulting Pty Ltd is seeking an experienced GCP Data & MLOps Engineer to design, deliver, and operate data, AI/ML, and cloud-native solutions.

You will work across data pipelines, model lifecycle, automation, and platform development on GCP.

You will collaborate on Dataflow, Kubeflow, Big Query, Django-based apps, and CI/CD pipelines, while applying Dev Ops/MLOps best practices in a fast-paced, defence-conscious environment.

GCP Data & MLOps Engineer β€” Remote Cloud Security in Canberra employer: Showtime Consulting Pty Ltd

Showtime Consulting is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. As an Email Security Engineer, you'll have the opportunity to work on defence-grade projects while benefiting from professional growth and development within a supportive team environment in Australia. With a focus on employee well-being and cutting-edge technology, Showtime Consulting stands out as a rewarding place to advance your career in cybersecurity.

S

Contact Details:

Showtime Consulting Pty Ltd Recruitment Team

We think you need these skills to ace GCP Data & MLOps Engineer β€” Remote Cloud Security in Canberra

GCP (Google Cloud Platform)
Data Engineering
MLOps
AI/ML Solutions
Data Pipelines
Automation
Cloud-Native Solutions