NLP AI Engineer
Tasks
- Apply RLHF DPO for preference optimization
- Build distributed training pipelines
- Collaborate with cross-functional teams
- Develop dataset and evaluation frameworks
- Fine tune LLMs using SFT
- Implement model safety and benchmarking
- Manage GPU training and model optimization
- Mentor junior engineers
- Track experiments and improve performance
Perks/Benefits
Skills/Tech-stack
Benchmarking | DPO | Data Generation | Distributed Training | Experiment tracking | FSDP | Fine Tuning | GPU Training | Language Models | Large Language Models | LoRA | Model Evaluation | Pipeline parallelism | PyTorch | Python | QLoRA | RLHF | Supervised Fine Tuning | Synthetic Data Generation | Synthetic data | Transformer Models | Zero
Education
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