About the role
MTU Aero Engines has over 14,000 employees in 20 locations worldwide. One in three planes flies with our technology. Even more economical, lower in emissions and quieter.MTU Aero Engines Polska is a leading aerospace and MTU Aero Engines AG company specialized in the production of aircraft engine components. Polish branch in Tajecina near Rzeszow is an integral part of the entire value chain, from engineering and technology (production engineering as well as design, analysis, project management, materials engineering) to production, assembly and repair. Your responsibilities Development of machine learning algorithms for parts deviation prediction and anomaly detection,Independent execution of projects with regular reporting,Participation in management of interdisciplinary teams and execution of project tasks,Close cooperation with different teams and sharing of methods and best practices,Cooperation and regular technical reporting to MTU Munich, Germany. Our requirements Bachelor’s or Master’s degree in Data Science, Mechanical Engineering or equivalent qualification,Strong knowledge of Python, including NumPy, pandas and scikit-learn,Familiarity with tools such as PyCharm, Tableau, Git and Linux,Experience in statistics and machine learning, data collection (ETL) and database management (SQL), preferably for shop floor data,Basic understanding of manufacturing processes will be an advantage,Ability to read and interpret technical documentation,Openness to qualification training in Munich,Strong communication skills and ability to work with a diverse, virtual team,Ability to work independently in an international environment,Very good written and spoken English, German is a plus,BenefitsWork in an international environment with access to global expertise and best practices in the aviation industryAnnual and long-term bonus schemeAn organizational culture based on trust, collaboration, and mutual supportStable employment in a well-established company. The first employment contract is offered for a minimum of 12 monthsTraining from day one and clear opportunities for professional development, including financial support for foreign language courses and further ed…
