Lead Data Scientist - (LLM / GenAI)

Job Description

About Yubi

Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it.

In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million.

In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.

Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements.

Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income

Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization

Spocto - Debt recovery & risk mitigation platform

Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises

So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore.

Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment.

At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story.

Job Summary :

We are looking for a highly skilled Lead Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) , along with hands-on experience in building and deploying conversational AI / chatbots . The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications.

Key Responsibilities :

Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions.

Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development.

Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph .

Design and develop ML / DL-based models to enhance natural language understanding capabilities.

Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications.

Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc. for domain-specific tasks.

Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance.

Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications.

Develop APIs and pipelines to integrate LLMs into enterprise applications.

Research and stay up to date with the latest advancements in LLM architectures, frameworks, and AI trends .

Required Skills & Qualifications :

5-8 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development.

Hands-on experience in developing and deploying conversational AI / chatbots is Plus

Strong proficiency in Python and experience with ML / DL frameworks such as TensorFlow, PyTorch, Hugging Face Transformers .

Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph .

Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models .

Understanding of Prompt Engineering and Fine-tuning LLMs .

Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale.

Experience in working with APIs, Docker, FastAPI for model deployment.

Strong analytical and problem-solving skills.

Ability to work independently and collaboratively in a fast-paced environment.

Good to Have :

Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) .

Knowledge of Knowledge Graphs and Symbolic AI .

Understanding of MLOps and LLMOps for deploying scalable AI solutions.

Experience in automated evaluation of LLMs and bias mitigation techniques .

Research experience or published work in LLMs, NLP, or Generative AI is a plus.

Why Join Us?

Opportunity to work on cutting-edge LLM and Generative AI projects .

Collaborative and innovative work environment.

Competitive salary and benefits.

Career growth opportunities in AI and ML research and development.

Requirements

Required Skills & Qualifications :

Basic understanding of Machine Learning (ML), Deep Learning (DL), and NLP-based model development.

Basic knowledge in Python and experience with ML / DL frameworks such as PyTorch, Hugging Face Transformers.

Basic understanding of LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph.

Understanding of Prompt Engineering and Fine-tuning LLMs.

Basic understanding of APIs (FastAPI / Flask) for model deployment.

Strong analytical and problem-solving skills.

Ability to work with minimum guidance and collaboratively in a fast-paced environment.

Requirements

Required Skills & Qualifications : Basic understanding of Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Basic knowledge in Python and experience with ML / DL frameworks such as PyTorch, Hugging Face Transformers. Basic understanding of LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph. Understanding of Prompt Engineering and Fine-tuning LLMs. Basic understanding of APIs (FastAPI / Flask) for model deployment. Strong analytical and problem-solving skills. Ability to work with minimum guidance and collaboratively in a fast-paced environment.