MLOps Engineer - Remote

Remote R

A USD 135K-190K (estimate) Senior-level Full Time

@ Y...

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Found 3h ago

Tasks

Administer Kubernetes and GKE
Automate notebook workflows
Build CI/CD pipelines for machine learning
Connect machine learning notebooks to big data infrastructure
Create how to guides for MLOps
Deploy machine learning on Google Cloud Platform
Develop MLOps best practices
Dockerize machine learning scripts
Implement monitoring and alerting for production workloads
Manage Kubernetes manifests with Helm
Manage model registry
Monitor production data drift
Optimize cloud compute resources
Provision and configure public and hybrid clouds
Schedule ML pipelines
Set up experiment tracking
Set up production monitoring and alerts
Use Bash automation for system integration
Use infrastructure as code for provisioning and configuration
Write processed data pipelines to data lakes warehouses and feature stores

Perks/Benefits

Remote work

Skills/Tech-stack

Education

N/A

Roles

Engineer | MLOps Engineer

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