Job Description

:



Position Title, Responsibility Level

Manager / Sr. Manager

Function

EXL Digital (EBU)

Reports to

Sr. AVP/AVP

Employment Type

Permanent

Span of Control

Individual Role

Location

Any

Job Summary

At EXL, we are developing solutions for some of the most exciting and challenging AI and NLP business problems. If you want to push the existing NLP/AI knowledge boundaries, then we have an excellent opportunity for you. We are looking for Data Scientists who can develop state of the art, scalable, and self-learning systems for information extraction from unstructured content (text, image, speech, and video). Major duty is to develop AI/ NLP solutions for business problems using in-production (feedback) data and state of the art tools and techniques.

Job Responsibilities

• Design, develop and implement solutions for a wide range of NLP use cases involving classification, extraction and search on unstructured text data. Create and maintain state of the art scalable NLP solutions in Python/ Java/ Scala for multiple business problems. This involves:
• Choosing most appropriate NLP technique(s) based on business needs and available data
• Performing data exploration and innovative feature engineering
• Training and tuning a variety of NLP models / solutions which include regular expressions, traditional NLP models as well as SOTA transformer based models
• Augmenting models by integrating domain specific ontologies and/or external databases
• Reporting and Monitoring the solution outcome

Additional Requirement

• Work experience with document-oriented databases such as MongoDB
• Collaborate with ML engineering team to deploy NLP solutions in production - both on premise as well as cloud deployment
• Interact with clients and internal business teams to perform solution feasibility as well as design and develop solutions
• Open to working across different domains \xe2\x80\x93 Insurance, Healthcare and Financial Services etc.

Organizational Relationships

Reports To : AVP \xe2\x80\x93 Digital Supervises: Individual Contributor

Skills

Required Skills

• Experience (including graduate school) on training machine learning models, applying and developing text mining / NLP techniques
• Experience (including graduate school) with Natural Language Processing techniques is required
• Hands on experience with Natural Language Processing tools such as Stanford CORE-NLP, NLTK, spaCy, Gensim, Textblob etc. Experience/ Familiarity with document clustering in supervised un un-supervised scenarios Expertise in at least two of the state of the art techniques in NLP like BERT, GPT, XL Net etc.
• Applied experience of machine learning algorithms using Python/Java/ Scala
• Organized, self-motivated, disciplined and detail oriented
• Production level coding experience in Python/Java is required
• Ability to read recent ML research papers and adapt those models to solve real-world problems
• Experience with any deep learning framework, including Tensorflow, Caffe, MxNet, Torch, Theano Experience with optimization on GPUs (a plus)
• Experience with using cloud technologies on AWS/ Microsoft Azure is a plus.

Working Hours

1 PM \xe2\x80\x93 10 PM

Education Requirements

• Engineering Graduate from premier institutes like IITs/ NITs

Work Experience Requirements

• Overall 4 - 8 years of relevant experience

Acknowledgement (acknowledge that the information contained in this document is factual and complete)



Candidate Supervisor/Manager Date

EXL Service