TIFIN - Staff Data Scientist - Generative AI

WHO WE ARE :

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge,Hamilton Lane, Franklin T empleton, Motive Partners and a whos who of the financial service industry.

We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization.

We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs).

We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.

Key responsibilities :

• Prototype Development : Build and validate prototypes by designing datasets and performing fine-tuning to demonstrate model feasibility and effectiveness.
• Model Fine-Tuning : Lead the fine-tuning process for large language models, leveraging both open-source solutions (e.g., LORA, LLAMA 2 / 3) and proprietary models like GPT 3.5 / 4.0 to address specific business needs.
• Retrieval-Augmented Generation (RAG) : Design and optimize advanced RAG systems,implementing efficient methods for chunking, indexing, and managing complex document formats, such as PDFs.
• Agentic Workflows : Develop and apply agentic workflows to create advanced conversation agents tailored for various use cases.
• Prompt Engineering : Craft effective prompts to enhance the performance of large language models, such as GPT-4 and Cloud 3, ensuring solutions align with business objectives.
• Inference Frameworks : Utilize inference frameworks like VAM and advanced pipelines to improve scalability and streamline the deployment of machine learning models.
• ML Model Deployment : Lead the deployment and productionization of machine learning models, collaborating closely with software engineers to ensure seamless integration into products.
• Conversational Experiences : Work with cross-functional teams, including design and product, to craft engaging and personalized conversational AI experiences for end-users.
• Independent Execution : Demonstrate the ability to independently manage projects, deliver features, and achieve outcomes in a dynamic, fast-paced startup environment.
• Data Personalization : Leverage and analyze existing datasets to enhance model performance and create tailored user experiences, fine-tuning models to align with unique business cases.
• Startup Mindset : T ake initiative in setting up workflows, tools, and systems from scratch, showcasing flexibility and adaptability in a growing organization.
• Leadership and Collaboration : Act as a leader and independent contributor, effectively collaborating across diverse teams while managing evolving project priorities.
• Research and Innovation : Drive innovative research aligned with business goals, exploring advancements in Natural Language Understanding (NLU) and conversational AI applications.
• Knowledge Sharing : Publish and present groundbreaking research in top-tier journals and conferences, contributing to the broader scientific community and enhancing organizational credibility.

Requirements :

(ref : hirist.tech)