Machine Learning Engineer (f/m/d)

Date: Jul 26, 2022

Location: Hamburg, DE, 20259

Company: Beiersdorf

Your Team 

At Beiersdorf’s Data Science Hub we are a trusted partner to all business functions. As such we enable their digital transformation by implementing end-to-end data-driven solutions to gain advanced consumer insights and both automate and optimize business processes. 
Our cross-functional team consists of experts in the fields of data engineering, data science, machine learning engineering and cloud engineering. The software solutions we implement range from demand forecasting over promo campaign optimization and consumer sentiment sensing to cognitive search engines. 

 

Our tech stack: 

  • Microsoft Azure: Data Lake Gen2, Machine Learning Workspaces, Data Factory, Container Registry, Functions 
  • Databricks w/ PySpark 
  • Azure DevOps and CI/CD pipelines 
  • Terraform 
  • Python 

 

Your Tasks  

  • Industrialization of state-of-the-art data science solutions 
  • Embed data science models into ML pipelines together with Data Scientists 
  • Orchestrate end-to-end data science pipelines including data and ML pipelines together with Data Engineers 
  • Monitor data science models including data-drift and drift of performance metrics 
  • Monitor (re-)training and inference pipelines

Your Profile

  • Master's degree in Mathematics, Physics, Computer Science or in a related quantitative field 
  • Strong Python skills. Strong general software engineering skills including DevOps and CI/CD pipelines 
  • Experience with training and inference pipelines for data science models 
  • Experience with REST APIs and event monitoring is a plus 
  • Work experience with containerization with Docker and Kubernetes is a plus 
  • Fluent in written and spoken English. German is a plus 
  • Ability to work in a self-organizing environment and eagerness to continuously learn 

We embrace Diversity and Inclusion and are committed to providing equal opportunities to all of our applicants – regardless of race, gender, age, religion and beliefs, sexual orientation & gender identity, disability, cultural, ethnic or national origins. We would therefore kindly ask you to include only information and data in your documents which are relevant for the assessment of your application (e.g. curriculum vitae with relevant references and certificates) and encourage you to upload your CV without a picture.
If you have any questions, please contact our recruiter Sarah Tönjes every Wednesday between 15h and 16h via the telephone number: +49 40 4909 4956.