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Description:
The Principal Data Scientist at Veritone will utilize advanced data science techniques to develop and deploy models using LLMs, GPT, and RAG for various applications that enhance customer experience and functionality on the platform.
This role involves proposing and delivering AI projects from end to end to drive business growth.
The candidate will work with the best available models, whether commercially or open source.
Evaluation of models will be necessary to determine the best options in terms of accuracy, performance, and cost.
The position requires developing data-driven storytelling narratives to effectively communicate findings and recommendations to stakeholders.
Requirements:
The candidate must have expert knowledge of LLMs, Retrieval Augmented Generation (RAG), and Multimodal Foundation Models.
Proficiency in deep learning, particularly with sequence- and generative models such as Attention, Transformers, GANs, and Diffusion is required.
Excellent written and verbal communication skills are essential.
Experience with Python, PyTorch, Langchain/LlamaIndex, Jupyter Notebooks, git, Docker, and vector databases is necessary.
The candidate should have experience designing and implementing APIs that leverage AI models.
Experience in implementing state-of-the-art RAG pipelines for question answering systems, chatbots, or copilots is required.
The role requires experience in processing unstructured data for LLM applications.
Familiarity with embedding models for multiple modalities (text, image, video, etc.) is necessary.