»  Strategy & Consulting »  NLP Transformation: Leading Consulting organisation

4Yrs -10 Yrs       Bangalore / Pune     Openings: Multiple

[doc,pdf ]

The Company

India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator.

The Job

As a Consultant, you will assist in the delivery of engagements. You will build on your experience to execute transformation programs. You will work closely with consultants and other stakeholders throughout the organization to understand the NLP requirements. You should be able to do adequate research and implement solutions for the requirements. You should have experience in developing with Python and NLP technology such as SKLearn, the Standford NLP library, Neural Networks, Bert, XlNet


  • Understand NLP requirements from consultants
  • Design and create solutions using the requirement understanding
  • Undertake research to accomplish difficult NLP problems
  • Extracting information from unstructured files using state-of-art technologies
  • Define, create and execute automated test cases, i.e. unit tests
  • Strong foothold in python
  • Complete ownership of model development as well as deployment
  • Understand business processes and develop business acumen
Your Profile
  • At least 4+ years of NLP development
  • A graduate from tier-1 engineering college 
  • Hands-on experience in machine learning model development in areas of NLU or NLP
  • Hands-on experience of deep learning (DL) architectures like CNN, RNN, LSTM etc.
  • Experience of working on Transformer architectures.
  • Experience with Deep learning frameworks like Pytorch, Tensorflow
  • Good understanding of Language Models, knowledge of NLP libraries repositories like Spacy, Flair, FairSeq, etc
  • Experience in applied research using modern NLP NLU architecture, techniques and algorithms for applications like Semantic Textual Similarity etc.
  • Experience with creation of ML pipelines and MLOps
  • Knowledge of Agile methodology is a must