Principal Machine Learning Engineer
Tasks
- Architect and operate scalable inference systems
- Build end-to-end machine learning pipelines
- Deploy machine learning models to production
- Design training data systems
- Fine tune and adapt transformer models
- Implement model evaluation pipelines
- Integrate ML systems into backend and products
- Optimize GPU performance
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Arrow | Apache Spark | DPO | Data Processing | Deep learning | DeepSpeed | Deployment | Distributed Training | Evaluation | FSDP | GPU Latency Optimization | GPU Optimization | Inference | JAX | Knowledge Distillation | Latency optimization | LoRA | Machine Learning | Megatron | Memory efficiency | Mixed Precision | PyTorch | QLoRA | Quantization | Ray | SFT | Synthetic data | Transformer | Zero
Education
N/A
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