About Nanonets
Nanonets has a vision to help computers see the world starting with reading and understanding documents. Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before.
From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data.
We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.
Read about the release here:https://www.forbes.com/sites/davidprosser/2024/03/12/why-enterprises-are-learning-to-love-nanonets-automation/?sh=6d79ec8f3ca1 https://techcrunch.com/2024/03/12/nanonets-funding-accel-india/amp/
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
About the Role
As a Full stack engineer, you should be comfortable with both backend (Preferably Golang) and frontend (React, Next). You will be primarily working on shipping new features like new integrations, enabling more machine learning API’s, and building complex workflows. You will also work on optimizing response times, building features that will scale to 100’s of millions of documents we process every month.
What we expect from you
B.Tech/B.E background from Tier 1 collegeAgility in shipping featuresGood at code design and architectureVery good communicationBackend experience - Preferably golang, pythonDatabases - Understanding of data modeling for Nosql preferably cassandraStrong fundamentals in OOP design patternsBasic understanding of DevopsCuriosity and Willingness to learn new things while solving a challenging problemLearning and incorporating best practices in software development, security and design/architecture
Some of the interesting features we have shipped in backend
Compile python code into C which could be imported into golang and then shipped as binary for on premise systemsAutoscale GPU dependent services with kubernetes with a custom metricDisplaying machine learning metrics in simplified ways to end users so they can act based on those metricsBuilding large number and variety of integrations with relatively generic interface like salesforce, quickbooks, RPA's, external databasesProcess large number of files in highly distributed manner in golang
Some of the interesting things we have shipped in frontend
Ability for users to annotate documents so AI can learn which fields to extractDisplaying machine learning metrics in simplified ways to end users so they can act based on those metricsLetting users build complex visual workflows around our API in our product.Let users visualize complex ML metrics in a very simple and intuitive way