Data Scientist -1

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:

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  Join a dynamic Data Science team as a CV-NLP Engineer, where you'll develop reusable tools and capabilities for building advanced machine learning models.

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  Tackle cutting-edge CV-NLP challenges, including image classification, data extraction, text classification, and summarization, using images, documents, and text data.

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  Collaborate closely with DevOps and Data Engineering teams to create efficient ML pipelines, ensuring seamless integration and deployment of models into production environments.

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  Accelerate the model development lifecycle, ensuring scalability for training and production scoring to handle large volumes of data and user traffic. Optimize model training throughput and response times using the latest technologies and techniques.

Required Experience & Expertise:

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  1-3 years of experience in developing computer vision models and applications.

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  Foundational knowledge in API Development and experience in Data Science and Machine Learning techniques.

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  Strong understanding of the complete ML model development lifecycle, including development, training, testing/evaluation, and deployment.

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  Proficient in writing reusable code for various ML stages, such as model training, testing, and deployment.

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  Hands-on experience in Python programming.

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  Proven track record in developing solutions for ML problems using frameworks like Scikit-learn, TensorFlow, Keras, etc.

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  Experience solving OCR challenges with pre-trained models and libraries such as Tesseract, Keras-OCR, EasyOCR, etc.

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  Skilled in developing reusable APIs for integrating OCR capabilities with various applications.

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  Familiarity with public cloud OCR services like AWS Textract, GCP Vision etc.

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  Experience in integrating OCR solutions into production systems for extracting text from diverse images, PDFs, and other document types.

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  Solid understanding of CNN concepts and experience with deep learning models such as YOLO.

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  Ability to prototype, evaluate, and incorporate the latest ML advancements, particularly in OCR.

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  Experience in NLP tasks, including Named Entity Recognition (NER), text classification.

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  Experience with Large Language Models (LLMs).

This role is for those who are enthusiastic about pushing the boundaries of what's possible in CV-NLP, leveraging both established and cutting-edge methodologies.