Large Language Model Specialist
Tasks
- Build scalable distributed training pipelines
- Construct curate and QA instruction tuning and preference datasets
- Design evaluation suites with benchmarks and human evaluation
- Design fine tuning experiments for large language models
- Document training methodology results and decisions
- Implement parameter efficient fine tuning with LoRA
- Implement parameter efficient fine tuning with QLoRA
- Manage model artifacts lineage tracking and reproducibility
- Mentor engineers on fine tuning best practices and evaluation rigor
- Operate GPU cluster training jobs and recover failures
- Optimize training throughput with mixed precision and efficient attention
- Run safety refusal and policy evaluations
- Translate LLM research into production fine tuning recipes
- Tune hyperparameters and optimizer configurations
Perks/Benefits
Skills/Tech-stack
Adapter methods | DPO | Distributed Training | Efficient Attention | Evaluation methodology | FSDP | GPU Cluster | Human evaluation | Hyperparameter Tuning | LoRA | Mixed Precision | Pipeline parallelism | Policy Evaluation | PyTorch | Python | QLoRA | RLHF | Reproducibility | Safety evaluation | Sequence Packing | Transformer | Zero
Education
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