Internship (m/f/d) AutoML for Industrial Applications
ABB
Ladenburg, Baden-Wurttemberg, Germany
vor 4 Tg.

Join ABB and work in a team that is dedicated to creating a future where innovative digital technologies allow greater access to cleaner energy.

Looking for a taste of working life in an international, future-focused corporate group? Then complete an internship with us, or come to us to write your thesis.

Both options are open for 3-6 months, depending on your course of study and subject to approval. ABB will provide you with wide-ranging, professional and expert support to help you complete your thesis.

Expand your network now, and learn about our company as you undertake a practically focused thesis or internship.

Your responsibilities

Developing machine learning models for industrial applications is a very time-consuming expert work. AutoML is the attempt to automate the machine learning process end-to-end.

Various Open Source Frameworks like AutoSklearn, AutoKeras, Ludwig automate at least important steps like model selection, hyper parameter tuning, neural net architecture design.

Most use cases are reported in natural language or image processing applications, industrial data sets like time-series or event data are rarely reported.

In this internship you will work on the following tasks :

  • Check applicability of frameworks towards time-series and or event data
  • Setting up Open Source AutoML frameworks on a local cluster or in the cloud with Kubernetes
  • Conducting experiments based on expert solved industrial machine learning problems
  • Comparing the performance of AutoML frameworks on industrial machine learning problems
  • Evaluation of open source AutoML frameworks for industrial use cases
  • Your background

  • Check applicability of frameworks towards time-series and or event data
  • Setting up Open Source AutoML frameworks on a local cluster or in the cloud with Kubernetes
  • Conducting experiments based on expert solved industrial machine learning problems
  • Comparing the performance of AutoML frameworks on industrial machine learning problems
  • Evaluation of open source AutoML frameworks for industrial use cases
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