MTU Aero Engines

Big tasks Development, implementation and optimization of machine learning models at the proof-of-concept level Scaling of machine learning models for use in production systems, taking into account performance, scalability and security. Design, testing and management of data pipelines for training and production systems Data acquisition, quality assurance, and feature engineering Close and independent collaboration with data scientists, software developers and other teams to integrate models into existing workflows Research, evaluation and selection of suitable machine learning algorithms and technologies, based on current research findings Target-group-oriented documentation and presentation of the developed models and their results Ideal conditions Studies in Computer Science, Computer Engineering, Mathematics, Statistics, Engineering or a comparable field of study Relevant experience in the development and implementation of machine learning...

STRONG TASKS Supporting departments in the preparation, structuring and implementation of data analysis and data processing projects Conducting operational analyses and data preparation using Microsoft Excel and Microsoft Access Creating data visualizations and analyses with Python and Tableau Analysis, evaluation and optimization of existing processes Collaboration and coordination with relevant stakeholders from Engineering, Manufacturing Engineering, Production Planning and Program Management Preparation and target-group-oriented documentation of analysis results and developed solutions Presentation and communication of the results obtained Collaboration on further data-related projects in accordance with current business requirements as well as personal interests and qualifications. BEST CONDITIONS Studies in business informatics, data science, computer science, mechanical engineering, industrial engineering, engineering sciences or a...