Generative AI - ML System Engineering
Tasks
- Build and debug PyTorch training infrastructure
- Build data loading pipelines
- Build efficient multi stage inference endpoints
- Build end to end machine learning training framework
- Debug and monitor hardware performance
- Implement custom GPU operators
- Optimize distributed model training performance
- Optimize inference with compilation fusion and quantization
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Compilation | Distributed Training | GPU Computing | JAX | NumPy | PyTorch | Python | Quantization | Transformers | Triton
Education
N/A
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