NLP AI Engineer
Tasks
- Build instruction tuning datasets
- Create evaluation suites and benchmarks
- Design fine tuning experiments for large language models
- Develop distributed training pipelines
- Document training methodology and results
- Implement parameter efficient fine tuning
- Implement safety refusal and policy evaluations
- Manage model artifacts and experiment reproducibility
- Mentor engineers on fine tuning and evaluation
- Operate GPU training jobs and recover from failures
- Optimize training throughput with mixed precision and efficient attention
- Tune hyperparameters and optimizer settings
Perks/Benefits
- N/A
Skills/Tech-stack
Adapter-Tuning | DPO | Efficient Attention | FSDP | Fine Tuning | Language Models | Large Language Models | LoRA | Mixed Precision | Pipeline parallelism | PyTorch | Python | QLoRA | RLHF | Reinforcement Learning | Sequence Packing | Supervised Learning | Transformer | Zero
Education
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