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NLP ENGINEER
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NLP ENGINEER

Agency job
2 - 5 yrs
₹7L - ₹18L / yr
Remote only
Skills
Natural Language Processing (NLP)
skill iconMachine Learning (ML)
skill iconData Science
Computer Vision
Market segmentation
Sentiment Analysis
recommendation algorithm
RNN
Good understanding of data structures, algorithms, and the first principles of mathematics.
● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
analyses
● Should be comfortable in going through open-source code and reading research papers.
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
Companies hiring on Cutshort
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About Karza

Founded :
2015
Type :
Product
Size :
100-500
Stage :
Raised funding
About
Karza Technologies ( A Perfios Company ) is the largest data, analytics, automation, and decisioning solution provider to FIs, catering to the entire lending lifecycle from onboarding to diligence & monitoring to collections. Karza Technologies solutions enable systemic fraud prevention, risk management, compliance & automation through superior data engineering and deep tech applications.
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Connect with the team
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Priyanka Asher
Company social profiles
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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