LLM Fine-Tuning Engineer
Tasks
- Apply parameter efficient fine tuning
- Build training pipelines
- Collaborate on fine tuning roadmaps
- Construct and QA datasets
- Design fine tuning experiments
- Document training methodology
- Implement evaluation suites
- Implement safety and refusal evaluations
- Manage model artifacts and reproducibility
- Mentor engineers on best practices
- Operate GPU training jobs
- Optimize training throughput
- Stay current with LLM research
- Tune hyperparameters
Perks/Benefits
Skills/Tech-stack
Adapters | Attention Optimization | Cluster operations | DPO | Distributed Training | Evaluation methodology | FSDP | GPU Cluster | GPU Cluster Operations | Hyperparameter Tuning | LoRA | Mixed Precision | Pipeline parallelism | PyTorch | Python | QLoRA | RLHF | Sequence Packing | Transformers | Zero
Education
Roles
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