Build and maintain ML infrastructure, including model serving, training pipelines, and observability, to support scalable, low-latency AI systems.
- Build ML infrastructure and platforms
- Build model serving for high throughput and low latency
- Create evaluation and benchmarking infrastructure
- Deploy and manage model inference
- Design training and evaluation systems
- Develop data preparation and training pipelines
- Implement production observability monitoring tracing and alerting
- Improve reliability scalability latency and cost
- Orchestrate ML workflows and experimentation