Master Thesis (m/f/d) MLOps Implementation

Date: Nov 12, 2022

Location: Hanau, HE, DE, 63450

Company: Heraeus

Master Thesis (m/f/d) MLOps Implementation
Location Hanau
Full Time


About Heraeus

Solutions from Heraeus provide faster internet, rid water of germs, and keep hearts beating in time. As a leading international family-owned technology group, we combine materials expertise and technological leadership to create the most diverse products, all with one thing in common: World-class quality. Working with customers around the world, we shape the future and provide vital innovations in the areas of environment, electronics, health, and industrial applications. Heraeus is one of the top 10 family-owned companies in Germany and has a team of around 16,200 employees in 40 countries.


The following challenges await you:

  • implement MLOps at Heraeus based on an existing blueprint
  • setup and deploy on kubernetes one or more MLOps platforms, rank these against each other and integrate with other datascience cloud services
  • evaluate MLOps features against requirements and show end-to-end deep learning cycle 
  • You will work in an agile environment together with other data scientist, data engineers and developers


Your profile:

  • master student 
  • python programming skills
  • MLOps tool knowledge (MLflow,CI/CD,...)
  • pytorch, kubernetes and Azure cloud knowledge 


What we offer:
Attractive remuneration - a salary in accordance with the currently valid collective agreement for the chemical industry
Exciting insights - gaining your first professional experience (technical, methodical and personal) 
Prospects - by building up specialist knowledge at a renowned global company, which can open many doors for you in your professional life
Further training - free access to digital learning opportunities