Machine Learning Engineer / Data Engineer (m/f/d) (full or part time)

  • Union Investment
  • Frankfurt am Main, Germany
  • 27/03/2024
Full time Data Engineering Machine Learning Business Intelligence Software Engineering Data Warehouse

Job Description

  • Area of ​​activity: private customers
  • Location: Frankfurt am Main
  • Employment relationship: full-time, part-time,
    permanent
  • Company: Union Investment Privatfonds GmbH
  • Earliest possible start: as soon as possible
  • Published: March 19, 2024

what we offer

Do you love data, machine learning models, clean code and would you like to support Union Investment's data scientists in using the diversity of an asset manager's data volumes?

We are looking for you to support the following topics:

  • Development of new and expansion of existing machine learning and AI use cases with the aim of production
  • Consultant for our data scientists, for example through code reviews and refactoring
  • Ensuring quality standards, for example by implementing tests (unit tests, integration tests)
  • Participation in the ongoing development of our data analytics platform and coordination with IT
  • Efficient data provision based on our data warehouse for our data analytics platform
  • Development of central Python libraries and components with a focus on MLOps
  • Monitoring productive machine learning models, deployment pipelines of our data analytics platform to ensure the daily operation of existing use cases
  • Ensuring data protection and data governance along the data value chain

What you offer

You are a good fit for us and this challenging position if you have the following:

  • Successfully completed studies in (business) computer science, (business) engineering, natural sciences or comparable experience
  • Several years of experience in the area of ​​machine learning and data engineering is desirable
  • Understanding of software architecture and software design patterns to write scalable, maintainable, well-designed, and future-proof code
  • Confident use of machine learning programming languages ​​and database systems (especially Python and SQL)
  • Experience with Microsoft Azure cloud technologies (e.g. Azure Machine Learning, Azure SQL, Azure CosmosDB)
  • Experience with machine learning operations and running machine learning models in production environments
  • High communication and coordination skills as well as a solution- and service-oriented way of working
  • Initial experience in agile working methods desirable

Our benefits

More details about our benefits:

  • Working models
    • Hybrid working (mobile and on-site)
    • Flexible working hours
    • Variable part-time models
    • Modern working environments
  • mobility
    • Central location with very good transport connections
    • Free job ticket
    • Bicycle leasing
    • E-charging station
  • Culinary
    • Subsidized lunch
    • Free drinks
    • Company restaurants
    • Coffee bars
  • social benefits
    • Employer-funded pension
    • capital accumulation benefits
    • Employee conditions within the framework of the cooperative financial network
    • Childcare subsidy
  • Fitness & Health
    • Gym subsidy
    • Internal sports offers
    • Health care
  • And much more
    • First-class IT equipment
    • Modern IT infrastructure
    • Further training offers
    • Career prospects

working models; Mobility; culinary; Social benefits; Fitness & Health; And much more

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