Build and maintain ML infrastructure, model serving systems, and data pipelines to deploy and optimize AI models in production.
- Build ML infrastructure and platforms
- Build model serving infrastructure
- Create ML data pipelines
- Deploy and run model inference
- Design training and evaluation systems
- Develop benchmarking and evaluation infrastructure
- Implement production observability monitoring and alerting
- Improve reliability scalability latency and cost efficiency
- Optimize distributed system performance
- Support model release and continuous improvement