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

The role can be summed up as building and deploying cutting edge generalised deep learning architectures that can solve complex business problems like converting unstructured data into structured format without hand-tuning features/models. You are expected to build state of the art models that are best in the world for solving these problems, continuously experimenting and incorporating new advancements in the field into these architectures.

What We’re Looking For

• At Least 2 years experience directly managing software team and at least 7 years of hands-on experience in software engineering.
• Solid hands-on experience in managing and delivering deadline based work.
• Knowledge of Python (must), strong problem solving acumen.
• Prior knowledge and exposure in Machine Learning and Image Processing.
  
  

Some of the interesting things we have shipped in frontend

• Ability for users to annotate documents so AI can learn which fields to extract.
• Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics.
• Letting users build complex visual workflows around our API in our product.
• Let users visualize complex ML metrics in a very simple and intuitive way
• Some of the interesting things our backend team has shipped
• Compile python code into C which could be imported into golang and then shipped as binary for on premise systems
• Autoscale GPU dependent services with kubernetes with a custom metric
• Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
• Building large number and variety of integrations with relatively generic interface like salesforce, quickbooks, RPA's, external databases
• Process large number of files in highly distributed manner in golang.
  
  

What We Expect From You

• Disciplined, Sincere and Customer Oriented. Customer Satisfaction is our motto.
• Should be a People leader. We understand that juggling multiple tasks with short deadlines can be stressful, you should know how to manage your team and make them deliver their best even under pressure.
• Must be flexible to work in the European Time Zone if Required.
• Quickly understand the problem at hand and break it into simpler parts for your team to solve and deliver.
• Great Communication Skills, you will be partnering with other teams internally as well as directly with the customer.
• Maintaining metric driven culture, plan and prioritise in advance.
• Training, mentoring, onboarding new team members.
• Out of the box thinking, find quirky hacks and heuristics to solve the problem at hand. We expect you to come up with quick agile solutions needed for the Sales demos without compromising on integrity and ethics.
• Encourage documentation and code-reuse. Following best engineering practices.
• Take end-to-end responsibility for your work and your team.
• Ensure that best engineering practices are being followed.
  
  

Some extra insights -

Our Tech Stack

Databases : Cassandra DB; Postgres/MySQL

Backend : Golang for API and other microservices ; Python for Machine learning (Tensorflow, Pytorch)

Frontend : React, Typescript ; Mobx

Cloud Providers : AWS ; GCP for ML heavy workload

Monitoring/ Alerting : ELK for logging ; Prometheus for Monitoring ; Grafana for dashboards

Orchestration : Kubernetes

DevOps : Jenkins for CI/CD