Ref. 2018-15
About the internship
Analysis of continuous and discrete valued time series is essential for intelligent management of complex systems in a range of industries. Predictive maintenance aims to prevent system failures by predicting them before they occur, avoiding the consequences of outages and costly repairs.
Machine learning is widely applied for understanding, forecasting and predicting based on time series data. In order to train and evaluate models continuously on near-real-time system data, a robust and scalable data processing infrastructure is required. We apply state-of-the-art technologies to enable efficient analysis of hundreds of millions of records per day. We are looking for an intern with a relevant background to join us in developing a big data infrastructure.
The successful candidate will get the opportunity to participate in an advanced machine learning project that aims for high business impact by avoiding unexpected outages in managed IT systems, and gain valuable experience in processing large quantities of data to create actionable insights.
Requirements
Candidates are expected to have the following background and interests:
Diversity
IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable both women and men to strike the desired balance between their professional development and their personal lives.
How to apply
If the above internship fits your background, please send your complete CV, including a list of publications and skills, as well as contact information for three references to:
Claudia Longchamp
Human Resources