GCP Data & MLOps Engineer — Pipelines & AI

Showtime Consulting; Australia; On-site; AUD 120,000 - 160,000; Full time

Job summary

Showtime Consulting is seeking an experienced GCP Data & MLOps Engineer to design, develop, and deliver modern data, AI/ML, and cloud-native solutions across Australia and New Zealand.

You will work across data pipeline development, model lifecycle management, cloud automation, and application development, using Dataflow, Apache Beam, Kubeflow, BigQuery, Python, and Django to enable scalable platform outcomes.

Qualifications

• Hands-on experience with Google Cloud Platform and data pipelines.
• Experience building Dataflow and Apache Beam pipelines.
• Proficiency in Python with reusable libraries.
• Experience with BigQuery data extraction and scheduling.
• Familiarity with Kubeflow Pipelines for ML workflows.
• Knowledge of cloud security practices and DevOps principles.

Responsibilities

• Design, build, and maintain GCP data pipelines.
• Develop ML/AI workflows and model deployment processes.
• Implement DevOps/MLOps practices across the lifecycle.
• Create reusable Python libraries and Dataflow templates.
• Automate CI/CD pipelines with Cloud Build.
• Develop REST API-based microservices and integrations.

Skills

GCP data pipelines

Python programming

Dataflow

Apache Beam

Kubeflow

BigQuery

MLOps

CI/CD

DevOps

REST APIs

Tools

Cloud Run

Cloud Functions

Cloud Build

Secret Manager

Cloud KMS

Django

R Shiny

Job description

Showtime Consulting is seeking an experienced GCP Data & MLOps Engineer to design, develop, and deliver modern data, AI/ML, and cloud-native solutions across Australia and New Zealand.

You will work across data pipeline development, model lifecycle management, cloud automation, and application development, using Dataflow, Apache Beam, Kubeflow, BigQuery, Python, and Django to enable scalable platform outcomes.