Large Language Model Specialist
Tasks
- Build scalable training pipelines
- Collaborate on fine tuning roadmaps
- Construct curate and QA instruction tuning and preference datasets
- Design fine tuning experiments for large language models
- Develop evaluation suites for models
- Document training methodology and decisions
- Implement parameter efficient fine tuning
- Implement safety refusal and policy evaluations
- Manage model artifacts lineage tracking and reproducibility
- Mentor engineers on fine tuning evaluation and deployment
- Operate training jobs on GPU clusters
- Optimize training throughput using mixed precision
- Translate LLM research into production ready training recipes
- Tune hyperparameters and training stability strategies
Perks/Benefits
- N/A
Skills/Tech-stack
Adapter methods | Attention Optimization | DPO | Evaluation methodology | FSDP | Fine Tuning | GPU clusters | Hyperparameter Tuning | Language Models | Large Language Models | LoRA | Mixed Precision | Pipeline parallelism | Preference optimization | PyTorch | Python | QLoRA | RLHF | Red Teaming | Reinforcement Learning | Reproducibility | Sequence Packing | Supervised Fine Tuning | Supervised Learning | Transformer | Zero
Education
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