Principal Data Scientist - Generative AI

Key Responsibilities

The Individual will work closely with the design and product teams to help craft conversational experiences for our users.
Understand the data and identify how that ca be leveraged to create more personalized experiences for our users
Fine tune models using LORA and Advanced RAG framework with data specific to our use case
Use different RAG approaches to augment data that the LLM already has
Setup new workflow, systems and tool from the ground up (you will have support, but we're building things from scratch)

Desired Skills

10 + years of overall work experience with Masters/bachelor's degree in computer science, mathematics, statistics, engineering, or relevant field.
5-6 years of ML/DL, Text mining, NLP experience within frameworks such as TensorFlow / PyTorch
Experience in building conversational AI products/ platforms is a must
1-2 years of experience working with LLMs and Generative AI
Hands-on experience in various LLM fine-tuning techniques (e.g. LORA), LLM inference frameworks (e.g.

vLLM), advanced RAG pipelines.

Ability to work independently to deliver features that the team design
Understanding of financial concepts and investing would be a big plus but not required
Publications at reputable machine learning conference or (ref:hirist.tech)