Summary
Date Posted: Wednesday, November 16, 2022 , Base Salary: Not Disclosed

JOB DETAILS:

Tasks will include:
• Building, deploying and maintaining data pipelines and machine learning models.
• Contributing to the dataset creation by supplementing the already available data with that data that may be relevant to the machine learning activity.
• Actively participating in the data preparation process/text preprocessing which involves areas of n-Gram identification, tokenization, stopwords removal, named entity removal, etc.
• Contributing to data analysis to extract insights from textual data.
• Other duties as assigned.

Deliverables:
• The reproducible script allows someone else to recreate your work by copying and pasting code. Include the required packages, data, code, and a description of your environment.
• Model performance screenshot – A screenshot of the model evaluation results.
• Document term matrix – a mathematical matrix that describes the frequency of terms that occur in a collection of documents.
• Note on sentiment analysis – a short writeup on the model.

You must have:
• At least an undergraduate degree
• At least 3 years experience with machine learning/deep learning (Preferably experience building machine learning for Natural Language processing).
• Experience working with both Python and R to build and deploy models.
• An open mind and desire to try out new things
• Willingness to teach and share knowledge with others.
• Competency in Microsoft and Google applications including Word, Excel, and Outlook
• Possess strong writing and communication skills

Work Hours: 8

Experience in Months: 36

Level of Education: Bachelor Degree

Job application procedure
Interested and qualified? Go to Pollicy on pollicy.org to apply

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