Data Scientist

About Yubi

Yubi, formerly known as CredAvenue, is redefining 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 plentiful, and we equip you with the tools to seize them.

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

Yubi Invest

Financial Services Platform

Spocto

Accumn

So far, we have onboarded over 17,000+ enterprises and 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.

About the job

Job Title: Data Scientist 2 (LLM/GenAI)

Location:

Experience:

Employment Type:

Job Summary:

Data Scientist (LLM)

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:

• 2-4 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, and 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?

• This is an 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.