HackerEarth jobs - ML DS - Technical Content Engineering

ML DS - Technical Content Engineering

HackerEarth
experience Fresher
salary Salary not disclosed
qualification
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Posted: 1 Year ago
Views: 0
Applications: 0
Openings: 1

Job Description

Requirements:

1. Programming languages Python3 (must have) R (good to have)
2. In-depth knowledge of statistics and machine learning algorithms
3. Good applied statistics skills, such as distributions, statistical testing, regression, etc.
4. Hands-on experience in solving business problems (good to have)
5. Exposure to building deep learning models
6. Hands-on experience in using query languages such as SQL
Responsibilities include:

1. Create/Review machine learning and data science + data engineering questions for the following:
1.1-HackerEarth's library
1.2-HackerEarth's monthly challenges
1.3-ML hiring challenges
1.4-ML/AI Hackathons
2. Create/Update/Review of HackerEarth's ML practice section articles


Skill(s) required
  • Content Writing
  • Data Science
  • Data Structures
  • Machine Learning
  • Python
  • R Programming
  • SQL

  • Who can apply

    1. are available for full time (in-office) internship

    2. can start the internship between 3rd May'22 and 7th Jun'22

    3. are available for duration of 6 months

    4. have relevant skills and interests

    * Women wanting to start/restart their career can also apply.

    Perks
  • Certificate
  • Letter of recommendation
  • 5 days a week
  • Job offer

  • Certificate: Will be provided at the end of the Internship


    Job Particulars

    Role Engineer
    Who can applyFreshers
    Hiring Process Face to Face Interview
    Employment TypeInternship / Projects
    Job Id786491
    Job Category Core Technical
    StateKarnataka
    Country India

    About Company

    HackerEarth
    HackerEarth is an AI-powered developer assessment software that helps organizations accurately measure a developer's skills through online coding tests. It takes a skill-based approach to assessment, allowing companies to automatically generate standardized tests based on various skills and then accurately measure the developer's performance on those skills.
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