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Nanonets
Nanonets cover picture
Founded :
2016
Type :
Products & Services
Size :
20-100
Stage :
Raised funding
About

Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning.


At Nanonets, we serve up the most accurate models. Always.

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Tech stack
skill iconPython
skill iconReact.js
skill iconGo Programming (Golang)
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Nanoets automates accounts payable in every possible way and streamline the document processing activity.

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Uncover valuable insights from any document and automate repetitive tasks, with AI-powered workflows.
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Neil Shroff
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Jobs at Nanonets

Nanonets
at Nanonets
2 candid answers
1 product
Neil Shroff
Posted by Neil Shroff
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote, Mumbai, Bengaluru (Bangalore)
3 - 10 yrs
$25K - $50K / yr (ESOP available)
skill iconDeep Learning
TensorFlow
skill iconMachine Learning (ML)
skill iconPython

We are looking for an engineer with ML/DL background.


Ideal candidate should have the following skillset

1) Python
2) Tensorflow
3) Experience building and deploying systems
4) Experience with Theano/Torch/Caffe/Keras all useful
5) Experience Data warehousing/storage/management would be a plus
6) Experience writing production software would be a plus
7) Ideal candidate should have developed their own DL architechtures apart from using open source architechtures.
8) Ideal candidate would have extensive experience with computer vision applications


Candidates would be responsible for building Deep Learning models to solve specific problems. Workflow would look as follows:

1) Define Problem Statement (input -> output)
2) Preprocess Data
3) Build DL model
4) Test on different datasets using Transfer Learning
5) Parameter Tuning
6) Deployment to production


Candidate should have experience working on Deep Learning with an engineering degree from a top tier institute (preferably IIT/BITS or equivalent)

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