Machine Learning Platform Engineer
Tasks
- Build and operate ML infrastructure and platforms
- Create evaluation and benchmarking infrastructure for model quality and regressions
- Design ML systems for training evaluation deployment and inference
- Develop data preparation training evaluation and model release pipelines
- Enable rapid experimentation with platforms tooling and infrastructure
- Implement production observability monitoring tracing and alerting
- Improve reliability scalability latency throughput and cost of AI systems
- Optimize model serving for throughput and low latency
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Data Pipelines | Distributed Systems | JAX | Logging | Machine Learning | Model Deployment | Model Inference | Monitoring | PyTorch | Python | System Reliability | Tracing | Vector Databases | Workflow Orchestration
Education
N/A
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