Machine Learning Platform Engineer
Posted 8
views
Summary
Build and maintain ML infrastructure, deploy models, and optimize distributed systems for performance, scalability, and cost efficiency.
- Build ML infrastructure platforms
- Build model serving and inference infrastructure
- Deploy models and run inference
- Design model training and evaluation systems
- Develop ML data pipelines for training and evaluation
- Enable rapid experimentation for model development and production release
- Implement evaluation and benchmarking for model quality and regressions
- Improve reliability scalability latency throughput and cost efficiency
- Optimize distributed system performance and identify bottlenecks
- Set up observability monitoring tracing and alerting for ML workloads