Staff Engineer, AI Infrastructure & MLOps
Tasks
- Architect MLOps platforms
- Build Backstage plugins and APIs
- Build CI/CD pipelines
- Build large scale cloud HPC platforms
- Build observability with Prometheus and Grafana
- Create platform catalogs using Backstage
- Deploy containerized solutions with Docker and Kubernetes
- Design multi-environment clusters
- Develop developer platforms
- Develop model management feature store and inference services
- Ensure HIPAA and FDA compliance
- Implement Python automation frameworks
- Implement SLIs and SLOs
- Integrate MLflow and Kubeflow
- Manage infrastructure as code
- Serve machine learning models at scale
- Set up incident response and disaster recovery
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CDK | Azure | Backstage | BentoML | CI/CD | Docker | GCP | GRPC | Go | Grafana | Helm | KServe | Kubeflow | Kubernetes | MLflow | PagerDuty | Prometheus | Pulumi | Python | REST | Seldon Core | TensorFlow Serving | Terraform | Torchserve
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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