Applied ML Engineer
Tasks
- Build build and delivery layer for custom infrastructure
- Build training evaluation and packaging workflows
- Establish benchmarking and validation
- Implement model release gates
- Instrument production models for feedback loop
- Optimize model serving for latency throughput and cost
- Own research to production pipeline
- Productionize research models
Perks/Benefits
- N/A
Skills/Tech-stack
Batching | CI/CD | Deployment | Distributed Systems | GPU Computing | Latency optimization | Machine Learning | Model Distillation | Model Evaluation | Model Monitoring | Model Packaging | Profiling | PyTorch | Python | Quantization | Regression Detection | Throughput Optimization
Education
N/A
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