Machine Learning Platform Engineer
Tasks
- Build and operate machine learning infrastructure platforms
- Create evaluation and benchmarking infrastructure
- Design training evaluation deployment and inference systems
- Develop data preparation and training evaluation pipelines
- Enable experimentation evaluation and faster model shipping
- Identify bottlenecks across the machine learning stack and improve performance
- Implement production observability monitoring tracing and alerting
- Improve reliability scalability latency throughput and cost efficiency
- Optimize model serving for high throughput and low latency
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Data Pipelines | Distributed Systems | GPU Performance | Inference | JAX | LLM serving | Machine Learning | Model Deployment | Model Evaluation | Model Training | Monitoring | Observability | PyTorch | Python | Retrieval | Tracing | Vector Databases | Workflow Orchestration
Education
N/A
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