Senior Data Scientist - Natural Language Processing

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
3-5 years
Chennai
Data Science Analytics & Machine Learning
Work From Home
Full Time
Upto ₹0 - ₹0

Posted: 1 year ago
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Job Description

What role you will play in team: Lead the development and implementation of NLP models for various applications.

What you will do: Design and develop advanced NLP models for tasks such as text classification, sentiment analysis, and question answering.

Key responsibility:

  • Lead the design and development of NLP models for various applications.
  • Develop and implement data pipelines for processing large-scale textual data.
  • Evaluate and optimize the performance of NLP models.
  • Collaborate with other data scientists and engineers to integrate NLP solutions into the platform.
  • Mentor junior data scientists.

Required Qualification and Skills:

  • PhD in Computer Science, Linguistics, or a related field.
  • Extensive experience with NLP techniques and tools (e.g., spaCy, NLTK, Transformers).
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong programming skills in Python.
  • Excellent communication and leadership skills.

Benefits Included:

  • Highly competitive salary and benefits.
  • Opportunities for career advancement.
  • Challenging and rewarding work environment.
  • Collaborative and supportive team.

A Day in the Life: A typical day would involve researching and implementing cutting-edge NLP techniques, collaborating with team members, and presenting results to stakeholders.

Skills

PythonSpaCyNLTKTransformersTensorFlowPyTorchDeep LearningNLPNatural Language ProcessingText ClassificationSentiment Analysis

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About Company

Common Services Centers (CSC) are one of the crucial enablers of the Digital India Programme. They are the access points for delivery of various e-governance.Digital India is a flagship programme of the Government of India with a vision to transform India into a digitally empowered society and knowledge economy.

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