Senior Machine Learning Engineer (m/f/x)
ALDI SÜDAbout the role
Info text
With more than 7,000 stores in 11 different countries, ALDI SOUTH is one of the world’s largest food retailers. It is our mission to supply our customers with high-quality food at the best possible prices. We have a clear focus, following a unique concept of simplicity, responsibility and reliability.
In the ALDI Data & Analytics unit everything revolves around one topic: Creating data-based value for ALDI SOUTH around the world. Through our global projects, we develop scalable data analytics products for and together with our business and technology teams. By doing so, we support the entire organisation in making business decisions based on reliable data and cutting-edge analytics insights. Become part of our ALDI Data & Analytics team!
Your Job
What you give your best for.
- 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
Your Profile
What you should have.
- 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.
Your Benefits
How we value your work.
- 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
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