Senior Machine Learning Platform Engineer
Tasks
- Build AI observability monitoring and alerting
- Build and operate production model serving systems
- Build developer tooling for ML workflows
- Create agentic AI orchestration monitoring and evaluation tooling
- Define ML AI infrastructure direction
- Design and operate multi vendor AI infrastructure
- Develop GPU inference pipelines
- Implement production ML monitoring and debugging
- Maintain infrastructure as code for ML environments
- Manage multimodal data pipelines
- Participate in on call rotation for uptime and reliability
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Alerting | Amazon ECS | CI/CD | Container Orchestration | Debugging | Evaluation | GCP Vertex | GCP Vertex AI | GPU Inference | Infrastructure as Code | Kubernetes | LLM | Model Serving | Monitoring | Multi-tenant | Multi-tenant architecture | Multimodal Data | Observability | Orchestration | Pulumi | Python | Tenant architecture | Terraform | Vertex AI | “as-code”
Education
N/A
Regions
Countries
States
Cities
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