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. Apply Job!