LLM Research Engineer
Tasks
- Align models with ethical AI standards
- Build evaluation pipelines for model metrics
- Deploy LLMs using Docker Kubernetes and cloud
- Design language model architectures
- Develop NLP research to improve model performance
- Develop conference and internal research presentations
- Implement data augmentation techniques
- Measure model bias fairness and robustness
- Optimize model accuracy efficiency and scalability
- Preprocess and curate text datasets
- Reduce latency and memory for inference
- Run A/B testing
- Train and fine-tune large language models
Perks/Benefits
- N/A
Skills/Tech-stack
BERT | CI/CD | CUDA | Deep learning | Distributed Computing | Docker | Evaluation metrics | Fine Tuning | Hugging Face | Hugging Face Transformers | JAX | Kubernetes | Language Processing | Language model fine-tuning | Large Language Model | Large Language Model Fine-Tuning | MLOps | Machine Learning | Model Fine-tuning | Natural Language | Natural Language Processing | OpenAI API | PyTorch | Python | RLHF | Reinforcement Learning | RoBERTa | Sequence to sequence | TensorFlow | Transformers
Education
Roles
Regions
Countries
States
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