Machine Learning Engineer
What is Machine Learning Engineer?
Their tasks include determining customer requirements, assessing technical feasibility and making time/cost estimates, selecting appropriate programming languages (such as C++, Java, Python), and utilizing development environments. Furthermore, they develop, adapt, or select algorithms, combining them with learning models and decision trees. Data collection, processing, and preparation as training data for AI applications are also among their core responsibilities. They train systems with data, continuously evaluate the results, and adjust and re-combine algorithms accordingly. Ensuring quality assurance, conducting tests, and integrating systems into existing IT infrastructure, as well as supporting and optimizing them during operation, are also part of their work.
In Germany, for this profession
Programs that lead to this profession
Computer Science field →The profession Machine Learning Engineer in Germany is generally reached through programs in the Computer Science field:
- Economics Data Science and Policy
Master · Martin-Luther-Universität Halle-Wittenberg
- Informatik
Master · Martin-Luther-Universität Halle-Wittenberg
3D Interaction Games
Master · Merz Akademie Hochschule für Gestaltung, Kunst und Medien, Stuttgart
Administrative Computer Science
Bachelor · Hochschule des Bundes für öffentliche Verwaltung
Advanced Driver Assistance Systems
Master · Hochschule für angewandte Wissenschaften Kempten
Advanced Media Technology
Master · Hochschule RheinMain
Source: BERUFENET · Bundesagentur für Arbeit
Frequently Asked Questions about Machine Learning Engineer
Education path, salary, recognition, and entry routes for foreigners
What does a Machine Learning Engineer do in Germany? ▼
Machine Learning Engineers play a crucial role in Germany, developing and improving algorithms and applications that learn from experience and react flexibly to new situations through artificial intelligence (AI). These professionals put intelligent systems into practice; for example, software controlling e-commerce platforms or solutions connecting factory facilities. They design, program, train, and continuously optimize self-learning AI systems that can react to unknown situations.
Their tasks include determining customer requirements, assessing technical feasibility and making time/cost estimates, selecting appropriate programming languages (such as C++, Java, Python), and utilizing development environments. Furthermore, they develop, adapt, or select algorithms, combining them with learning models and decision trees. Data collection, processing, and preparation as training data for AI applications are also among their core responsibilities. They train systems with data, continuously evaluate the results, and adjust and re-combine algorithms accordingly. Ensuring quality assurance, conducting tests, and integrating systems into existing IT infrastructure, as well as supporting and optimizing them during operation, are also part of their work.
In Germany, for this profession
Is Machine Learning Engineer an Ausbildung or a degree path? ▼
In Germany, "Machine Learning Engineer" follows a Grundberuf — an entry-level occupation that requires no formal vocational training or specific degree.
How can I qualify as Machine Learning Engineer in Germany? ▼
In Germany, "Machine Learning Engineer" follows a Grundberuf — an entry-level occupation that requires no formal vocational training or specific degree. Foreign applicants should additionally verify diploma recognition via anabin.kmk.org before applying.
Where do Machine Learning Engineer typically work in Germany? ▼
Workplace varies by employer. Check the official BERUFENET listing for the current breakdown of typical work environments for Machine Learning Engineer.
What is the typical salary for Machine Learning Engineer in Germany? ▼
Salaries vary by region, employer size, and experience. Consult BERUFENET for current figures, or salary aggregators like gehalt.de and stepstone.de Gehaltsreport.