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<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