About the role
Nanonets has a vision to automate the most complex, time-consuming processes inside companies which take away hours of valuation time from employees. Our workflow automation platform is powered with the latest models that can make sense of even unstructured data like documents.
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.
Some of the technical challenges we deal with are fine-tuning SOTA VLM’s for workflow automation, using generating architectures for their superior emergent behaviour to understand the world but also constraining those architecture to reduce hallucination and generate structured workflows which can be used in completely automated manner.
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://techcrunch.com/2024/03/12/nanonets-funding-accel-india/amp/
What We Expect From You
- Strong Machine Learning & DL concepts.
- Strong command in low-level operations involved in building architectures like Transformers, Efficientnet, ViT etc., and experience in implementing those in pytorch/jax/tensorflow.
- Experience with the latest semi-supervised, unsupervised and few shot architectures in Deep Learning methods in NLP/CV domain
