Machine Learning Engineer - Part Time

Chulo Solutions . (Posted: 3 years ago)

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Deadline: Expired 1261 Days ago
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Salary

Rs. 30,000-45,000 /M.

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Position

Mid Level

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Locations

nepal (work from home for now)

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Job Type

Part Time

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Qualification

Bachelor

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Experience

More than or equals to 2 years

Specification

  • We are looking for:
  • An expert in machine learning to help us to design and build an online e-learning program.
  • A person who can work part-time for about 15 - 20 hours a week. (It is remote work. Working hours can be decided according to your circumstances.) ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ

Required skills:

  • Advanced degree in computer science, math, statistics or a related discipline
  • Extensive data modeling and data architecture skills
  • Programming experience in Python
  • Experience in machine learning frameworks in python such as TensorFlow or Keras
  • Strong knowledge about machine learning and deep learning algorithms such as k-Nearest, NLP and sequence modeling, along with CNN
  • Strong written and verbal communications in English ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ

Core responsibilities:

  • Create, check, and modify online courses about machine learning
  • Communicate with the foreign team for any improvement in our online programs
  • Research, Design and Frame Machine Learning Systems
  • Understand and Transform the Prototypes of Data Science
  • Verifying data quality, and/or ensuring it via data cleaning
  • Perform Machine Learning Model Tests and Experiments
  • Develop the Machine Learning Model as per the Need
  • Select and Implement Right Machine Learning Algorithms
  • Understand Business Objectives and Developing the ML Models

Description

Company benefits:

  • Friendly, creative working environment with a foreign team
  • Working with the latest technologies
  • Timely salary review
  • Remote working policy ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ

Applying Procedure: If you believe you are the one and have a passion to work with us, APPLY NOW with

  • Your recent resume in PDF format
  • Your desired weekly working hours and monthly salary at [email protected].

We are looking forward to receiving your application!

Skills

#Machine Learning
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1~2 Open Positions

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Flexible

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