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Data Scientist
Data Scientist
Fintech lead, 's logo

Data Scientist

Agency job
4 - 7 yrs
₹15L - ₹35L / yr
Chennai
Skills
BERT
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
skill iconData Science
skill iconPython
  • A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

 

  • Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
  • Mentor and coach other team members
  • Evaluate the performance of NLP models and ideate on how they can be improved
  • Support internal and external NLP-facing APIs
  • Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

 

  • Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

 

Strong analytical and problem-solving capabilities.

  • Proven ability to multi-task and deliver results within tight time frames
  • Must have strong verbal and written communication skills
  • Strong listening skills and eagerness to learn
  • Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

 

Hands-on experience with

 

  • NLP
  • Deep Learning
  • Machine Learning
  • Python
  • Bert

Preferred Requirements

  • Experience in Computer Vision is preferred
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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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