MTU Aero Engines Polska stanowi część grupy MTU Aero Engines AG – wiodącego producenta podzespołów do silników lotniczych. Zakład w Tajęcinie k. Rzeszowa stanowi integralną część globalnego łańcucha dostaw – od obszarów inżynieryjnych i technologicznych (obejmujących m.in. przygotowanie produkcji, projektowanie, analizy, zarządzanie projektami oraz inżynierię materiałową), po produkcję, montaż i naprawy.
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,
Benefits
- Work in an international environment with access to global expertise and best practices in the aviation industry
- Annual and long-term bonus scheme
- An organizational culture based on trust, collaboration, and mutual support
- Stable employment in a well-established company. The first employment contract is offered for a minimum of 12 months
- Training from day one and clear opportunities for professional development, including financial support for foreign language courses and further education
- Access to an e-learning platform with a wide range of training courses
- Private medical care with the option to extend coverage to family members, as well as access to health programs and psychological support for you and your loved ones
- Group life and health insurance
- Safe and comfortable working conditions in line with high occupational health and safety standards
- Co‑financing of truly useful benefits, including a Medicover sport card, public transport, prescription glasses, and meals in the company cafeteria. Additionally - fresh fruit Wednesdays
- An attractive calendar of company events - integration, sports, and social activities
- The possibility to join company - sponsored sports clubs
- Convenient on - site facilities - a bus stop located next to the company and a dedicated employee parking area.
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