Jobs

    Full Stack Engineer - India - Nanonets

    Nanonets
    Nanonets India

    18 hours ago

    Default job background
    Technology / Internet
    Description

    About Nanonets

    Nanonets aims to revolutionize the way computers perceive the world, starting with understanding documents. In the realm of Machine Learning (ML), Nanonets stands as a leading player, providing cutting-edge ML solutions to streamline document-related processes rapidly. From automating data extraction to improving reconciliation, our solutions optimize operations, revolutionize workflows, and unleash untapped potentials for our diverse clientele such as Toyota, Boston Scientific, Bill.com, and Entergy. The recent $29 million Series B funding by Accel reaffirms our commitment to innovation and expanding the global reach of advanced AI solutions.

    We are dedicated to fostering a workplace enriched with equal opportunities and mutual respect for all.

    About the Role

    As a Fullstack engineer at Nanonets, you will work on both backend (preferably Golang) and frontend (React, Next). You will drive the development of new features, integrations, machine learning APIs, and robust workflows. Your tasks will involve optimizing response times and creating scalable features to handle the processing of millions of documents monthly.

    What we expect from you

    • B.Tech/B.E degree from a Tier 1 college
    • Proven agility in delivering features
    • Proficiency in code design and architecture
    • Excellent communication skills
    • Backend expertise, preferably in Golang and Python
    • Knowledge of data modeling, particularly with NoSQL databases like Cassandra
    • Solid understanding of OOP design patterns
    • Basic DevOps understanding
    • Curiosity and eagerness to learn while tackling complex challenges
    • Adoption of best practices in software development, security, and design/architecture

    Some of the notable backend features we have implemented

    • Creation of C-compiled Python code for import into Golang, delivering as binaries for on-premise systems
    • Autoscaling GPU services via Kubernetes using custom metrics
    • Presenting machine learning metrics in a user-friendly manner for actionable insights
    • Development of various integrations with interfaces like Salesforce, QuickBooks, RPAs, and external databases
    • Highly distributed file processing in Golang

    Noteworthy frontend functionalities we've developed

    • Capability for users to annotate documents to enhance AI field extraction
    • Visualization of ML metrics in a simplified format for user actions
    • Creation of complex visual workflows around our API within the product
    • Intuitive display of intricate ML metrics for easy user comprehension
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