Machine Learning Intern - INTERNSHIP/STAGE

Job Description

IBM is recruiting for the position of Machine Learning Intern - INTERNSHIP/STAGE.

IBM is the world's largest information technology company, with more than 100 years of leadership in helping businesses innovate. Drawing on resources from across IBM and key business partners, IBM offers a wide range of services, solutions and technologies that enable customers, large and small, to take full advantage of the new era of a Smarter Planet. As supplier of global solutions, we develop not only the best solutions for our customers, but we also create a company with human dimensions. A place where work is fun.

The student will assist with a Machine Learning Jupyter Notebook Template. Our community believes that this would be of great value to our unit. The template would include:


  1. The steps to be executed in each assignment

  2. Reminder of all the best practices and tips and tricks per step

  3. Detailed explanation of each step and references to online materials on the topic

The template will encourage a standard way of working across assignments and ensure we use a standardized approach with the best practices embedded.

Required Technical and Professional Expertise

  • Person studying a Data Science degree.
  • Some academic knowledge of machine learning is required.
  • Students in Statistics or Mathematics can also be very valuable for this internship


Preferred Tech and Prof Experience

  • Knowledge of Jupyter Notebooks is a plus, although not a must, since this knowledge can be easily acquired by the intern through self-study.


EO Statement
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


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