Senior Machine Learning Engineer (m/f/d) Data Analytics

  • ING-DiBa AG
  • Frankfurt am Main, Germany
  • 12/11/2019
Full time Data Science Data Engineering Machine Learning Data Analytics Big Data Business Intelligence Statistics Software Engineering

Job Description

Why just look on if you can help us to move on? Our ING Analytics Hub is staffed with 15 highly qualified experts who work on interdisciplinary projects, transforming Fin into Tech. You value international exchange at the highest level, are keen to think ahead or outside the box and enjoy sharing your knowledge productively? Well, don‘t just look on, jump on.

Your tasks:

Machine learning, Spark & Big Data, software engineering – these are the topics you like digging into, passionately pursuing trends & technologies to introduce into your team. You understand data science better than a software engineer and software engineering better than a data scientist. In practice, you implement and evaluate machine learning models and bring them into operation. It is your task to turn the requirements of the departments in the environment of BI/DWH/Big Data into smart designs and to supervise the operation of these environments. In data science projects you are in charge of the technical aspects, act as a contact person and set out the framework while always working closely with international project managers, your team, and diverse stakeholders.

Your Profile:

  • Masters degree in computer science
  • Several years of experience with machine learning models including their operation
  • Fit in Python & Libraries such as scikit-learn, pandas, NumPy, TensorFlow
  • Experienced in working with Big Data platforms and tools like Hadoop, Spark und Flink
  • Profound know-how in software development incl. software testing, Continuous Integration, code reviews, etc.
  • Constructive in discussions in English and willing to learn German
  • Ready to travel up to max. 1/4 of your working time

Apply now at Germany’s third largest retail bank: