Deep Learning Intern

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.