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