LLM Engineer
Tasks
- Build dataset construction curation and quality assurance
- Build scalable training pipelines
- Collaborate to align fine tuning roadmaps
- Design evaluation suites with automated benchmarks human evaluation and probes
- Design fine tuning experiments for large language models
- Document training methodology results 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 distributed training jobs on GPU clusters
- Optimize training throughput with mixed precision sequence packing and efficient attention
- Translate LLM research advances into production recipes
- Tune hyperparameters and optimizer configurations
Perks/Benefits
- N/A
Skills/Tech-stack
Adapter | DPO | Data Generation | DeepSpeed ZeRO | Distributed Training | Evaluation methodology | FSDP | GPU clusters | Human evaluation | LoRA | Mixed Precision | Pipeline parallelism | PyTorch | Python | QLoRA | RLHF | Red Teaming | Sequence Packing | Synthetic Data Generation | Synthetic data | Transformer
Education
Roles
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