Senior Data Scientist

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. 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 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

Accumn - 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 onboarded more than 17000 enterprises, 6200 investors, and lenders and 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.

Requirements

Key Responsibilities:

• Lead and mentor a dynamic Data Science team in developing scalable, reusable tools and capabilities to advance machine learning models, specializing in computer vision, natural language processing, API development and Product building.
• Drive innovative solutions for complex CV-NLP challenges, including tasks like image classification, data extraction, text classification, and summarization, leveraging a diverse set of data inputs such as images, documents, and text.
• Collaborate with cross-functional teams, including DevOps and Data Engineering, to design and implement efficient ML pipelines that facilitate seamless model integration and deployment in production environments.
• Spearhead the optimization of the model development lifecycle, focusing on scalability for training and production scoring to manage significant data volumes and user traffic. Implement cutting-edge technologies and techniques to enhance model training throughput and response times.
  
  

Required Experience & Expertise:

• 3+ years of experience in developing computer vision models and applications.
• Extensive knowledge and experience in Data Science and Machine Learning techniques, with a proven track record in leading and executing complex projects.
• Deep understanding of the entire ML model development lifecycle, including design, development, training, testing/evaluation, and deployment, with the ability to guide best practices.
• Expertise in writing high-quality, reusable code for various stages of model development, including training, testing, and deployment.
• Advanced proficiency in Python programming, with extensive experience in ML frameworks such as Scikit-learn, TensorFlow, and Keras and API development frameworks such as Django, Fast API.
• Demonstrated success in overcoming OCR challenges using advanced methodologies and libraries like Tesseract, Keras-OCR, EasyOCR, etc.
• Proven experience in architecting reusable APIs to integrate OCR capabilities across diverse applications and use cases.
• Proficiency with public cloud OCR services like AWS Textract, GCP Vision, and Document AI.
• History of integrating OCR solutions into production systems for efficient text extraction from various media, including images and PDFs.
• Comprehensive understanding of convolutional neural networks (CNNs) and hands-on experience with deep learning models, such as YOLO.
• Strong capability to prototype, evaluate, and implement state-of-the-art ML advancements, particularly in OCR and CV-NLP.
• Extensive experience in NLP tasks, such as Named Entity Recognition (NER), text classification, and on finetuning of Large Language Models (LLMs).
  
  

This senior role is tailored for visionary professionals eager to push the boundaries of CV-NLP and drive impactful data-driven innovations using both well-established methods and the latest technological advancements.

Benefits

We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.