ML & Data Engineer (m/f/d)

DevOps & Cloud Engineer for Machine Learning Platform

The “AI Service” is a central service within Siemens Healthineers that delivers Machine Learning projects to internal customers. We are looking to expand the project team with a somebody who can – both in a team but also individually – deliver different parts of Machine Learning projects, including but not limited to Data Engineering and Machine Learning tasks.

Your tasks and responsibilities:

• You will be a contact point for assessing ML project feasibility, providing feedback about feasibility and effort estimation
• You build up know how in the ML project domain, enabling you to build meaningful information products including data / feature sets up to final visualizations that deliver model output.
• You visualize and analyze data sets
• You train and interpret ML models
• You potentially create dashboards delivering ML model output to the end customer or integrate model predictions in other downstream processes

Your qualifications and experience:

• You have a bachelor’s or master’s degree in a discipline that helps you carry out the above tasks
• You are familiar with Big Data and Data Engineering operations and concepts using Spark, Pyspark, RDDs Spark data frames etc.
• You are familiar with various AI/ML modeling concepts such as Data cleaning, EDA, Model selection, Model training, Hyperparameter tuning etc.
• Ideally, you have deployed and managed models throughout their lifecycle, retiring them when needed and checking on their performance
• You are familiar with Azure DevOps or similar Code/Service-management platforms
• Ideally, you are familiar with Data Visualization tools (e.g., Power BI or Qlik Sense, Seaborn)
• You do have significant relevant experience when it comes to Data & and Feature Engineering using tools such as
• SQL
• Pyspak/Spark
• Pandas/and other python data manipulation tools
• You have knowledge in relevant Machine Learning libraries including but not limited to
• Scikit Learn
• XGboost
• Light GBM and others
• Ideally, you MLflow for tracking experiments and deploying models
• You have experience in usage and configuration of cloud technologies on application and infrastructural level

Your attributes and skills:

• You are fluent in English and communicate effectively
• You work autonomously, reliably and liaise with our team members to understand the requirements and demands to be implemented
• You do have the required analytical aptitude