LLM Engineer
Tasks
- Build training pipelines
- Collaborate with cross-functional teams
- Construct and QA datasets
- Design fine tuning experiments
- Develop evaluation suites
- Document methodology and results
- Implement parameter efficient fine tuning
- Implement safety refusal evaluations
- Manage model artifacts and reproducibility
- Mentor engineers
- Operate GPU cluster training jobs
- Optimize training throughput
- Stay current with LLM research
- Tune hyperparameters
Perks/Benefits
Skills/Tech-stack
Adapters | Attention Optimization | Deep learning | DeepSpeed ZeRO | Direct Preference Optimization | Efficient Fine Tuning | FSDP | Fine Tuning | Human Feedback | Learning from Human Feedback | LoRA | Machine Learning | Mixed Precision | Parameter efficient fine-tuning | Pipeline parallelism | Preference optimization | PyTorch | Python | QLoRA | Reinforcement Learning | Reinforcement Learning from Human Feedback | Sequence Packing | Supervised Learning | Transformers
Education
Roles
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