Role overview
What you'll do:
- Fine-tune and deploy open source NLP models like Falcon, Whisper, MPT, etc.
- Understand and implement relevant techniques to improve model performance beyond fine-tuning.
- Assist in deploying LLMs based on customer needs.
- Participate in monitoring and improving the performance of models deployed to production.
- Contribute to the writing of well-crafted programs throughout the system. This includes data pipelines, experiment prototypes, scalable deployment models, and evaluation, visualization, and monitoring systems.
- Engage in discussions about architecture and propose solutions to system and product changes.
Skills & Experience:
- Experience in fine-tuning and deploying LLMs (please provide examples of past projects).
- Experience with tools like LangChain, Huggingface Transformers and Weights & Biases.
- Experience with prompt design and implementation.
- Solid understanding of deep learning frameworks like TensorFlow or PyTorch to experiment with Neural nets and Datasets.
- Experience with AWS SageMaker or an equivalent service for training and deploying neural networks.
- Understanding of relevant techniques to improve model performance.
We welcome applications from candidates who are in the process of obtaining their degree or have recently graduated. Past experience with fine-tuning models is crucial. We're looking for someone who has a good understanding of NLP and is excited about the opportunity to apply and grow their skills.
What you'll work on
- Fine-tune and deploy open source NLP models like Falcon, Whisper, MPT, etc.
- Understand and implement relevant techniques to improve model performance beyond fine-tuning.
- Assist in deploying LLMs based on customer needs.
- Participate in monitoring and improving the performance of models deployed to production.
- Contribute to the writing of well-crafted programs throughout the system. This includes data pipelines, experiment prototypes, scalable deployment models, and evaluation, visualization, and monitoring systems.
- Engage in discussions about architecture and propose solutions to system and product changes.
Skills & Experience:
- Experience in fine-tuning and deploying LLMs (please provide examples of past projects).
- Experience with tools like LangChain, Huggingface Transformers and Weights & Biases.
- Experience with prompt design and implementation.
- Solid understanding of deep learning frameworks like TensorFlow or PyTorch to experiment with Neural nets and Datasets.
- Experience with AWS SageMaker or an equivalent service for training and deploying neural networks.
- Understanding of relevant techniques to improve model performance.
We welcome applications from candidates who are in the process of obtaining their degree or have recently graduated. Past experience with fine-tuning models is crucial. We're looking for someone who has a good understanding of NLP and is excited about the opportunity to apply and grow their skills.
Tags & focus areas
Used for matching and alerts on DevFound Ai Intern Entry Level Remote Aws Tensorflow Pytorch Transformers Langchain Fulltime