Hiring NLP Engineers For Bangalore

Disha Consultant

find jd-

responsibilities

● ability to work in a fast-paced environment in an iterative manner

● understand the business objectives; design and deploy scalable ml models/ nlp applications to

meet those objective

● research and implement the right algorithms and tools for ml/ nlp tasks

● using advanced nlp, ml, and text analytics, you will develop applications that will extract business

insights by analyzing a large amount of unstructured text information, identifying patterns, and by

connecting the events (., nlp, machine learning, neural nets, logistic regression, and

clustering), build knowledge graphs and generate actionable insights

● work with development teams to integrate and transform these models into production quality models

o train, test and deploy models in the cloud (gcp, aws).

o basic logical pseudo code writing

o work with the engineering team to deploy models in production & validate the

o models

qualifications

● strong understanding of linguistic concepts like part of speech, name entity

● recognition, dependency parsing, parsing, shallow parsing and so on

● hands on with r and python and python related frameworks (spacy, core nlp,

● gensim, deep pavlov, pytorch, tensorflow, keras, huggingface)

● experience in building and deploying bert-family models, transformer

● architecture, gpt-3, lstms, crfs, lda, distributed model training, model

● diagnostics and error analysis etc.

● aws / gcp experience is a plus

desired qualifications

● graduate/post-graduate/ in computer science, mathematics, machine learning,

nlp, or similar field

● 8+ years of hands-on experience in building nlp systems from scratch using

various nlp frameworks/tool

• Experience

  8 - 12 Years

• No. of Openings

  5

• Education

  B.E

• Role

  NLP Engineer

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Home