Jobs / Showtime Consulting
GCP Data & AI/MLOps Engineer
Showtime Consulting · Canberra, ACT, Australia
Canberra, ACT, AustraliaOnsite
Remuneration
Not specified
Location
Canberra, ACT, Australia
Visa sponsorship
Not specified
Job summary
Seeking an experienced GCP Data & MLOps Engineer to design, develop, and deliver data, AI/ML, and cloud-native platform solutions.
Qualifications
- Hands-on experience with Google Cloud Platform.
- Experience developing data pipelines with Dataflow and Apache Beam.
- Strong Python development skills.
- Experience with BigQuery for data extraction and scheduling.
- Experience with Dataflow Flex Template Frameworks.
- Experience delivering AI solutions on GCP.
- Understanding of DevOps and MLOps practices.
- Experience with Kubeflow Pipelines.
- Experience with GCP Model Registry.
- Experience developing microservices with REST APIs.
- Experience with Python Django development.
- Experience automating Cloud Run and Cloud Functions.
- Experience with Cloud Build implementations.
- Knowledge of Secret Manager and Cloud KMS.
- Experience deploying dashboards with R Shiny or Python Django.
- Experience developing web applications for AI management.
- Understanding of cloud-native application development.
- Analytical and problem-solving skills.
- Good communication skills for technical and business collaboration.
Responsibilities
- Design and maintain data pipeline frameworks using Google Cloud Platform.
- Develop scalable data processing solutions with Dataflow, Apache Beam, Python, and BigQuery.
- Build and maintain Dataflow Flex Template Frameworks.
- Perform BigQuery data extraction and automated job scheduling.
- Design and implement Kubeflow Pipelines for ML deployment.
- Deliver AI-based solutions on GCP.
- Apply DevOps and MLOps practices in data and ML lifecycle.
- Implement automation and monitoring for data flows and cloud services.
- Manage model lifecycle using GCP Model Registry.
- Enable continuous deployment of Django applications on GCP.
- Automate deployment of Cloud Run services and Cloud Functions.
- Implement CI/CD pipelines using Cloud Build.
- Develop REST API-based microservices for integration.
- Implement Secret Manager and Cloud KMS.
- Develop web applications for AI Platform resource management.
- Deploy dashboards using R Shiny and Python Django.
- Optimise application code and data pipelines for performance.
Skills
AWS KMSBigQueryCloud BuildCloud FunctionsCloud RunGCPPythonREST
Relocation
No