Data Scientist – NLP

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
0-1 years
Gurugram
Data Science Analytics & Machine Learning
Hybrid
Full Time
Upto ₹0 - ₹0

Posted: 1 year ago
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Job Description

What role you will play in team: You will be working on a team focused on natural language processing and its applications within our platform. You will help improve various aspects related to user experience and information retrieval.

What you will do: Develop and implement NLP models for tasks such as text classification, sentiment analysis, and named entity recognition. You'll be working with large datasets and cloud computing.

Key responsibility:

  • Develop and implement NLP models using various deep learning techniques.
  • Clean and preprocess large text datasets.
  • Evaluate model performance and identify areas for improvement.
  • Collaborate with engineers to integrate models into production systems.
  • Stay up-to-date with the latest advancements in NLP research.
  • Document your work and communicate findings clearly to the team.

Required Qualification and Skills:

  • Bachelor's or Master's degree in Computer Science, Linguistics, or a related field.
  • Strong programming skills in Python.
  • Experience with NLP libraries such as spaCy, NLTK, and transformers.
  • Experience with cloud computing platforms (AWS, Azure, or GCP).
  • Strong understanding of NLP concepts and techniques.

Benefits Included:

  • Competitive salary and benefits.
  • Opportunities for professional development and growth within the company.
  • A collaborative and supportive work environment.
  • Exposure to cutting-edge technologies and research.

A Day in the Life: A typical day might involve data preprocessing, model training, performance evaluation, and collaboration with team members.

Skills

PythonSpaCyNLTKTransformersNLPAWS

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About Company

Optiver is a leading global market maker, providing liquidity to the world's financial markets. We are known for our quantitative approach, technological innovation, and commitment to excellence. We offer a challenging and rewarding environment where individuals can contribute to the success of our business and grow professionally.

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