In-Demand Gcp data & ai/mlops engineer Jobs in Sutherland Shire Nsw

GCP Data & AI/MLOps Engineer
Showtime Consulting —Sydney NSW
- Full-time
- DevOps
- Analysis skills
- Machine learning
Quick Apply
4d
Binance Accelerator Program - Computer Vision Engineer (Agentic AI)
Binance —Sydney NSW
- Contract
- Remote
- Azure
- Computer Science
- Master's degree
Quick Apply
GCP Data Engineer
Showtime Consulting —Sydney NSW
- Full-time
- Management
- DevOps
- Analysis skills
Quick Apply
7d
MLOps / AI Engineer
Tata Consultancy Services —Sydney NSW
- On call
- Azure
- Management
- Master's degree
Machine Learning Engineer - Capital Investment - Data & AI - Sydney
The Argyle Network —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Machine Learning Platform Engineer
Atlassian —Sydney NSW
- Remote
- Azure
- Systems design
- AWS
2d
Forward Deployed AI Engineer, Australia (Senior/Principal Level)
Cloudera —Sydney NSW
- Full-time
- Remote
- Azure
- Management
- AWS
- Annual leave
14d
Principal Technology Architect- AI
Infosys —Sydney NSW
- $212,505 - $246,693 a year
- Azure
- Computer Science
- AWS
- Health insurance
- Parental leave
AI Architect - Databricks
Unison Group —Sydney Olympic Park NSW
- Azure
- Master's degree
- SQL
Quick Apply
Senior Machine Learning Engineer (Platform / MLOPs)
Nearmap —Barangaroo NSW
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Vision insurance
- Free food
Quick Apply
AI Delivery Lead - Sydney/Melbourne
Capgemini Sogeti —Sydney NSW
- Azure
- AWS
- Agile
AI Delivery Lead - Sydney/Melbourne
Capgemini —Sydney NSW
- Azure
- AWS
- Agile
Senior Machine Learning Engineer
Prezzee —Sydney NSW
- Azure
- AWS
- Machine learning
- Work from home
- Parental leave
Quick Apply
11d
Sr. Specialist Solutions Architect
Databricks —Sydney NSW
- Azure
- Computer Science
- AWS
Quick Apply
5d

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GCP Data & AI/MLOps Engineer
Showtime Consulting —Sydney NSW
Enable continuous deployment of Django applications on GCP. Develop customised web applications for AI Platform resource creation and management.
Quick Apply
4d
Binance Accelerator Program - Computer Vision Engineer (Agentic AI)
Binance —Sydney NSW
Write clean, efficient Python code using modern frameworks such as PyTorch (and TensorFlow where relevant) for model training, inference, and deployment.
Quick Apply

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GCP Data & AI/MLOps Engineer

Showtime Consulting -
Sydney NSW

Quick Apply

Job Details

Full-time
4 days ago

Qualifications

CI/CD
RESTful API
DevOps
Encryption
Google Cloud Platform
Application development
Microservices
Analysis skills
Machine learning
Cloud development
REST
Data pipeline
APIs
Apache
AI
Communication skills

Full Job Description

Build GCP pipelines using Dataflow, Apache Beam and Python
Deliver MLOps, Kubeflow and AI/ML platform automation
Develop Cloud Run, Cloud Functions, Django and REST APIs

Company Description
Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology solutions across cloud, infrastructure, cybersecurity, DevSecOps, software engineering, data, AI/ML, and digital transformation programs.

We partner with government and enterprise organisations to build high-performing technology teams that deliver secure, scalable, and future-ready solutions within complex technology environments.

The Role
We are seeking an experienced GCP Data & MLOps Engineer to support the design, development, and delivery of modern data, AI/ML, and cloud-native platform solutions.

This role is suited to a hands-on engineer with strong experience across Google Cloud Platform, Dataflow, Apache Beam, BigQuery, Kubeflow, Python, Django, and DevOps/MLOps practices. You will work across data pipeline development, AI solution delivery, model lifecycle management, cloud automation, dashboard deployment, and application development to support scalable and efficient platform outcomes.

Key Responsibilities

Design, build, and maintain customised data pipeline frameworks using Google Cloud Platform.
Develop scalable data processing solutions using Dataflow, Apache Beam, Python, and BigQuery.
Build and maintain Dataflow Flex Template Frameworks and domain-specific Python libraries.
Perform BigQuery data extraction, preprocessing, and automated job scheduling.
Design and implement Kubeflow Pipelines for automated ML pipeline creation and deployment.
Deliver AI-based solutions on the GCP platform.
Apply DevOps and MLOps practices across the data and machine learning lifecycle.
Implement automation and monitoring across data flows, ML systems, and cloud services.
Manage model lifecycle, maintenance, and governance using GCP Model Registry.
Enable continuous deployment of Django applications on GCP.
Automate deployment and management of Cloud Run services and Cloud Functions.
Implement automated CI/CD pipelines using Cloud Build.
Develop REST API-based microservices to support platform and application integration.
Implement Secret Manager and Cloud KMS, including deterministic encryption.
Develop customised web applications for AI Platform resource creation and management.
Deploy and maintain dashboards using R Shiny and Python Django.
Optimise application code, data pipelines, and technical deliverables to improve performance and efficiency.

What You'll Need

Strong hands-on experience with Google Cloud Platform.
Experience developing customised data pipelines using Dataflow and Apache Beam.
Strong Python development skills, including experience building reusable Python libraries.
Experience working with BigQuery for data extraction, preprocessing, and automated scheduling.
Experience building Dataflow Flex Template Frameworks is highly regarded.
Experience delivering AI-based solutions on GCP is advantageous.
Strong understanding of DevOps and MLOps practices.
Experience applying DevOps methodologies to machine learning systems.
Experience designing and implementing Kubeflow Pipelines is highly regarded.
Experience with GCP Model Registry and model lifecycle management is advantageous.
Experience developing microservices using REST APIs.
Experience with Python Django application development is highly regarded.
Experience automating Cloud Run and Cloud Functions deployments.
Experience with automated Cloud Build implementations.
Knowledge of Secret Manager, Cloud KMS, and deterministic encryption is advantageous.
Experience deploying dashboards using R Shiny or Python Django is highly regarded.
Experience developing customised web applications for AI platform resource management is advantageous.
Strong understanding of cloud-native application development and platform automation.
Strong analytical, troubleshooting, optimisation, and problem-solving skills.
Good communication skills with the ability to work across technical and business teams.

Why Join Us?

Work on modern GCP-based data, AI/ML, and platform engineering solutions.
Build scalable cloud-native data pipelines and machine learning workflows.
Gain exposure to Dataflow, Apache Beam, Kubeflow, BigQuery, and MLOps practices.
Contribute to automation, CI/CD, dashboarding, and cloud platform modernisation initiatives.
Collaborate with experienced cloud, data, software engineering, and delivery teams.
Join a consulting culture focused on innovation, technical excellence, and continuous improvement.

Quick Apply

Refine Your Search

gcp data & ai/mlops engineer jobs in sutherland shire nsw

GCP Data & AI/MLOps Engineer

Binance Accelerator Program - Computer Vision Engineer (Agentic AI)

GCP Data Engineer

MLOps / AI Engineer

Machine Learning Engineer - Capital Investment - Data & AI - Sydney

Machine Learning Platform Engineer

Forward Deployed AI Engineer, Australia (Senior/Principal Level)

Principal Technology Architect- AI

AI Architect - Databricks

Senior Machine Learning Engineer (Platform / MLOPs)

AI Delivery Lead - Sydney/Melbourne

AI Delivery Lead - Sydney/Melbourne

Senior Machine Learning Engineer

Sr. Specialist Solutions Architect

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