Lead Data Scientist - Computer Vision & OCR

About Us

Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility.

From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products

Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles.

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.

Responsibilities

• This particular role is within our Yubi Invest vertical, and you would get to work on building our bonds platform, called Aspero, for retail users.
• Be able to operate in ambiguous situations and define clear objectives by breaking down the narratives independently.
• Work closely with business, research, data and engineering teams to understand the user goals, market dynamics and ship products.
• Aligning product strategy, proposition and roadmap with measurable metrics with all stakeholders.
• Drive PRDs, product planning, and product design of new features and enhancements.
• Clearly communicate product and platform benefits to our users and internal stakeholders
  
  

About The Role-

We’re looking for a highly skilled, results-driven AI engineer who thrives in fast-paced, high-impact environments. If you are passionate about pushing the boundaries of Computer Vision, OCR, and Large Language Models (LLMs) and have a strong foundation in building and deploying AI solutions, this role is for you.

As a Senior Data Scientist, you will take ownership of designing and implementing state-of-the-art OCR and Computer Vision systems. This role demands deep technical expertise, the ability to work autonomously, and a mindset that embraces complex challenges head-on.

Here, you won’t just fine-tune pre-trained models—you’ll be architecting, optimizing, and scaling AI solutions that power real-world applications.

Key Responsibilities-

Architect, develop, and deploy high-performance Computer Vision and OCR models for real-world applications.

Implement and optimize state-of-the-art OCR models such as Donut, TrOCR, LayoutLM, and DocFormer for document processing and information extraction.

Fine-tune and integrate LLMs (GPT, LLaMA, Mistral, etc.) to enhance text understanding and automation.

Develop custom deep learning models for large-scale image and document processing.

Build and optimize end-to-end AI pipelines, ensuring efficient data processing and model deployment.

Work closely with engineers to operationalize AI models in production (Docker, FastAPI, TensorRT, ONNX).

Enhance GPU performance and model inference efficiency, applying techniques such as quantization and pruning.

Stay ahead of industry advancements, continuously experimenting with new AI architectures and training techniques.

Work in a highly dynamic, startup-like environment, balancing rapid experimentation with production-grade robustness.

Requirements

5-10 years experience p roven technical expertise – Strong programming skills in Python, PyTorch, TensorFlow with deep experience in Computer Vision and OCR.

Hands-on experience in developing, training, and deploying OCR and document AI models.

Deep understanding of Transformer-based architectures for vision and text processing.

Experience working with Hugging Face, OpenCV, TensorRT, and NVIDIA GPUs for model acceleration.

Autonomous problem solver – You take initiative, work independently, and drive projects from research to production.

Strong experience in scaling AI solutions, including model optimization and deployment on cloud platforms (AWS/GCP/Azure).

Thrives in fast-paced environments – You embrace challenges, pivot quickly, and execute effectively.

Familiarity with MLOps tools (Docker, FastAPI, Kubernetes) for seamless model deployment.

Experience in multi-modal models (Vision + Text).

Nice to Have-

Strong background in vector databases, RAG pipelines, and fine-tuning LLMs for document intelligence.

Contributions to open-source AI projects.