Machine Learning Engineer Remote Internship

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Responsibilities

  • Selected intern’s day to day roles and responsibilities include:
  • Performing explanatory data analysis.
  • Comfortable in machine learning and deep learning algorithms (like Supervised
  • Learning, Unsupervised Learning, RNN, CNN, transfer learning).
  • Develop predictive algorithms.
  • Designing and recommending advanced machine learning algorithms. algorithms.
  • Designing, developing, and testing code.
  • Preparing, analyzing data and identifying patterns
  • Verifying data quality and ensuring it via data cleaning.
  • Shall work on AI services by IBM / AWS / Azure
  • Shall involve in mentoring / training activities

Requirements

  • Good English Speaking & Writing Skills
  • Knowledge of Python Programming Language
  • Should work full-time, Min 20 Hrs. a week (4 hrs. / Day)
  • Minimum Qualification – Bachelor’s in Computer Science, Information Technology or
    equivalent (Current Pre-final / final year students can apply)

Terms & Conditions

  1. 6 Months Internships (1 Month (Training) +2 Months (Projects -L1) +3 Months (Projects
    -L2))

    • One-month training (40 Hrs.): No Stipend
    • IBM Watson AI Services
    • Machine Learning Algorithms
    • Deep Learning Algorithms
    • 2-Months (Project Work – L1): No Stipend
    • Basic Projects with IBM Watson AI Services
    • Basic to Intermediate Project in Machine Learning with Python
    • 3-Months (Project Work – L2): Stipend (USD 150 to USD 200 per Month)
    • Advanced Projects with Machine Learning
    • Advanced Projects with Deep Learning
  2. Should work from home (Remote Internship)
  3. 6 Months Service Agreement
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Additional Responsibilities

  • Support Smartinternz in hosting project build-a-thons
  • Act as a teaching assistant or mentor during the events
  • Help SmartInternz team in University Connects
  • Support SmartInternz team in publicity & promotion of events

How to apply

Send CV to [email protected] / [email protected]

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