Machine Learning Engineer Remote Internship

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

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]