SRE ML Ops - Architect
Tasks
- Architect MLOps pipelines
- Automate and debug using programming languages
- Build model serving workflows
- Design cloud native platforms for AI workloads
- Handle incident triage escalation and resolution
- Implement model registration and versioning
- Maintain production AI ML workflows
- Manage cloud services for compute storage and serverless
- Manage data pipelines for ML and analytics
- Orchestrate containerized applications with Kubernetes
- Troubleshoot complex production issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Bedrock | Cloud platform | Databricks | Docker | EC2 | GCP | Go | Google Cloud | Google Cloud Platform | Kubernetes | Lambda | MLflow | Python | Rust | S3 | Terraform | TypeScript
Education
N/A
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