... processes Support in maintaining high data quality Requirements Customer Focused : You ... .g. Python) and work with data processing tools like SQL Pandas ... a mission to make soil data accessible in realtime thus changing ...
... processes Support in maintaining high data quality Requirements Customer Focused : You ... .g., Python) and work with data processing tools like SQL, Pandas, ... a mission to make soil data accessible in real-time, thus ...
... applications in the field of Data Science as well as in ... Your profile Strong experience in Data Science and Business Analytics Experience ... : University studies completed with a master’s degree Proof of extraordinary qualifications ...
... extensive industry-specific data and deep process knowledge to ... sciences in a data science, AI, or other relevant field in Germany, bachelor’s or master’s level Python proficiency is required Experience with data science frameworks such as pytorch, ...
... the machine learning lifecycle from data ingestion to model deployment and ... you will occasionally contribute to data engineering, MLOps, and general software ... -time and real-time data pipelines (e.g. Kafka) Working with data intensive pipelines (e.g. using ...
... a commitment to accuracy in data management. Ability to work collaboratively ... advantageous. A Bachelors degree, a Master’s degree is preferred, but not ... of Computer Science, Software Engineering, Data Science, and Artificial Intelligence. Our ...
... AI models and data pipelines. Collaborate with cross-functional ... user experiences. Optimize data pipelines and systems to handle real-time and near-real-time data for efficient AI model deployment ... GraphQL APIs for data communication between front-end and ...
... interact with AI models and data pipelines. Collaborate with crossfunctional teams ... RESTful and GraphQL APIs for data communication between frontend and backend ...
... -Tabellen Grundlegende Kenntnisse der SAP-Master-Data-Governance-LösungKommunikationsfähigkeit, starke Kundenorientierung und ...
... machine learning lifecycle from data ingestion to model deployment and ... nearrealtime and realtime data pipelines for efficient data processing. Collaborate with crossfunctional teams ... Building nearrealtime and realtime data pipelines (e.g. using Spark ...