AI Research Engineer (Model Compression & Quantization)
Tasks
- Address production inference bottlenecks
- Analyze accuracy latency and memory trade-offs
- Apply low-bit quantization for generative AI
- Author technical papers for peer reviewed conferences
- Build compression pipelines
- Document methodologies experiments and results
- Establish performance and fidelity metrics
- Implement pruning for redundant parameters removal
- Leverage knowledge distillation for smaller student models
- Research mixed precision quantization and advanced compression strategies
Perks/Benefits
Skills/Tech-stack
Backpropagation | C++ | Fine Tuning | Knowledge Distillation | Mixed Precision | Model Pruning | Neural Networks | Optimization | Post-training | Post-training Quantization | PyTorch | Python | Quantization | Quantization aware training | Transformers
Education
Roles
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