Generative AI Engineer
Tasks
- Build supervised preference based and reinforcement learning workflows
- Communicate requirements with cross functional partners
- Construct training datasets
- Evaluate language model performance
- Fine-tune large language models
- Implement distributed training strategies
- Operate GPU training pipelines
- Recover from training job failures
- Review designs and mentor engineers
Perks/Benefits
- N/A
Skills/Tech-stack
DPO | Data Generation | Dataset Distillation | DeepSpeed ZeRO | Distributed Training | Evaluation methodology | FSDP | Fine Tuning | GPU clusters | Human evaluation | Language Models | Large Language Models | Multimodal Learning | Pipeline parallelism | Preference optimization | PyTorch | Python | RLHF | Reinforcement Learning | Synthetic Data Generation | Synthetic data | Transformers
Education
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