Senior Machine Learning Engineer (m/f/d)
02. Open
IT-Jobs: Data & Analytics
ALDI International Services SE & Co. oHG
Mintarder Straße 36-40
Mülheim an der Ruhr
Deutschland (DE)
nach Vereinbarung
Senior Machine Learning Engineer (m/f/d) (ID:295821)

<h4 class="intro">Bitte nicht bearbeiten</h4>

In the Global Data & Analytics (GDA) team at ALDI SOUTH, everything revolves around one topic: creating data-based value for ALDI SOUTH and our customers around the world. In global projects, we develop customised solutions for and with our business and IT teams. By doing so, we support the entire organisation in making major business decisions based on reliable data and cutting-edge analytics.* Become part of the Global Data & Analytics team and contribute to the data-driven future of ALDI SOUTH . 

<h3 class="jd">Your Tasks</h3>

  • Collaborates with Data Scientists to test and scale new algorithms through pilots and later industrializes the solutions at scale
  • Influences, contributes and maintains the large-scale data infrastructure required for the AI projects in close collaboration with the data engineers
  • Leverages an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code 
  • Designs, develops and maintains the framework for analytical pipeline 
  • Develops common components to address pain points in machine learning project, like model lifecycle management, feature store and data quality evaluation
  • Provides input and helps implement frameworks and tools to improve data quality
  • Works in cross-functional agile teams to build the AI ecosystem within the Group 
  • Delivers on time, demonstrating strong commitment to deliver on the team mission and agreed backlog 


<h3 class="jq">Your Profile</h3>

  • Has a background in computer science, mathematics or related technical discipline
  • Is experienced in software engineering with exposure to statistical and/or data science role
  • Has deep knowledge and proven experience with optimizing machine learning model in a production context
  • Worked with Python or Scala in a productive environment (mandatory). Background in programming in C, C++, Java is beneficial
  • Exposure to both streaming and non-streaming analytics. Experience with SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit-learn, Keras, TensorFlow, Pytorch, Databricks is beneficial. 
  • Has experience working with large data sets, simulation/optimisation and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
  • Excellent communication skills and business fluency in English; knowledge of German is a plus 

<h3 class="jb">Our Benefits</h3>

  • Mobile working within Germany incl. equipment and flexible working hours 
  • State-of-the-art technologies 
  • Attractive remuneration as well as holiday and Christmas bonuses 
  • Future-oriented training and development 
  • Modular onboarding and buddy 
  • Health activities