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NLP Engineer

Agency job
4 - 6 yrs
₹4L - ₹20L / yr
Bengaluru (Bangalore)
Skills
Natural Language Processing (NLP)
PyTorch
skill iconPython
skill iconJava
Solr
skill iconElastic Search
Skill Set:
  • 4+ years of experience Solid understanding of Python, Java and general software development skills (source code management, debugging, testing, deployment etc.).
  • Experience in working with Solr and ElasticSearch Experience with NLP technologies & the handling of unstructured text Detailed understanding of text pre-processing and normalisation techniques such as tokenisation, lemmatisation, stemming, POS tagging etc.
  • Prior experience in implementation of traditional ML solutions - classification, regression or clustering problem Expertise in text-analytics - Sentiment Analysis, Entity Extraction, Language modelling - and associated sequence learning models ( RNN, LSTM, GRU).
  • Comfortable working with deep-learning libraries (eg. PyTorch)
  • Candidate can even be a fresher with 1 or 2 years of experience IIIT, IIIT, Bits Pilani, top 5 local colleges are preferred colleges and universities.
  • A Masters candidate in machine learning.
  • Can source candidates from Mu Sigma and Manthan.
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Streamoid Technologies Pvt Ltd

Founded :
2012
Type
Size
Stage :
Raised funding

About

Streamoid is a leading AI technology partner for fashion retailers. We focus on infusing styling intelligence to products and processes to increase productivity by at least 10X and reduce complexity of management. We make your business style aware. In Cataloging : The streamoid Cataloging tool uses fashion AI to auto generate relevant product attribute tags. Reducing overall training and management costs and time to market by 80%. 2. In Ecommerce: We make style aware search and product recommendations increasing the relevance of the products shows within the context of fashion. 3. In Personalisation As we understand a customer preferences and style, we automatically personalise feed and product recommendations for that specific customer. 4. In Retail Intelligence We match your catalog with your customers style preferences and give you a completely different view and much more. All our products are active self learning systems so every catalogue and customer interaction adds knowledge to Streamoid's Fashion AI Platform. And what's more we never forget what we learn. A hallmark of a super intelligent system. Fact Sheet: • Incorporated in 2013 (US) with Indian Subsidiary • Angel funded, started operations in 2014 • 4 patents granted and 4 under process * 45 Full-Time-employees.
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Shubham Vishwakarma

Full Stack Developer - Averlon
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