Inclusive growth Chain | Jobs | Machine Learning Application Developer | BigDataKB.com | 31-01-22

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Job Location: Hyderabad/Secunderabad

About Us

The University of Hyderabad research team, under Professor Vijaya Bhaskar Marisetty and Dr. Varsha Mamidi’s leadership, is developing an integrated Blockchain-enabled cold chain supply chain logistics for Pharmaceutical Industries in collaboration with Dr.Reddy”s Labs. The project is for s period of 15 months and it is extendable further.

Responsibilities:

  • Study and transform data science prototypes.
  • Design, train, develop and test NLP applications
  • Identify appropriate annotated datasets for Supervised Learning methods
  • Effectively transform natural language into useful features
  • Find and implement suitable algorithms and tools for NLP tasks
  • Perform statistical analyses of output and refine models
  • Extend ML libraries and frameworks to apply in NLP tasks
  • Remain up to date in the rapidly changing field of machine learning and identify innovations that present an opportunity

Requirements:

  • Proven experience as an NLP Engineer or similar role
  • Understanding of NLP techniques for text representation (such as n-grams, bag of words, sentiment analysis, etc.), semantic extraction techniques, data structures, modeling statistics, and classification algorithms.
  • Ability to design software architecture effectively
  • Knowledge of Python, Java, and R
  • Ability to write robust and testable code
  • Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like sci-kit-learn)
  • Strong communication skills
  • An analytical mind with problem-solving abilities
  • Degree in Computer Science
  • Experience in NetLogo.

ALL APPLICATIONS SHOULD BE E-MAILED TO: marisetty@uohyd.ac.in

LAST DATE OF APPLICATION: 10th February 2022.

Please refer to the notification published on the university website for the required qualifications, job description, and Salary for available positions.
https://uohyd.ac.in/non-teaching-project-staff/

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