Senior Machine Learning Platform Engineer
Tasks
- Build AI observability monitoring alerting debugging
- Build and maintain infrastructure as code for ML environments
- Build developer tooling for ML workflows
- Create orchestration monitoring evaluation and observability tooling for agentic AI
- Define ML AI infrastructure direction
- Design and operate multi tenant model serving
- Develop GPU inference pipelines
- Own multimodal data pipelines
- Participate in on call rotation for model serving uptime and pipeline reliability
- Translate infrastructure needs into scalable platform capabilities
Perks/Benefits
Skills/Tech-stack
AI Observability | AWS SageMaker | Alerting | Amazon ECS | Audio Processing | CI/CD | Container Orchestration | Data Pipelines | Debugging | GPU Inference | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Infrastructure as Code | Kubernetes | LLM | LLM Evaluation | Low Latency | Model Serving | Monitoring | Multitenant Architecture | Orchestration | Pulumi | Python | Structured data | Terraform | Text processing | Vertex AI | “as-code”
Education
N/A
Regions
Countries
States
Cities
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