Senior Machine Learning Engineer at Itaú, driving innovation with data and AI solutions. Collaborating across teams to implement robust machine learning architectures and ensure scalable deployments.
DR
Hybrid Praktikum – Technologieentwicklung, Software Programmierung, Computer Vision, Machine Learning
Posted 3 months ago
About the role
- Internship in Software Programming for Computer Vision and Machine Learning at Dräger. Develop algorithms and support data-driven applications in medical and security technology.
Responsibilities
- Unterstützung bei der Entwicklung neuartiger Algorithmen und Methoden für datengetriebene Anwendungen der Medizin- oder Sicherheitstechnik
- Entwicklung intelligenter Sensorsysteme für Anästhesie- und Ventilationsgeräte
- Weiterentwicklung mobiler und stationärer Gasmessgeräteflotten
- Kamerabasierte Überwachungssysteme
Requirements
- Studium der Elektrotechnik, Physik, Informatik oder Mathematik im mindestens 4. Fachsemester oder vergleichbarer Studiengang
- Erste Erfahrungen mit Werkzeugen wie Tensorflow, Scikit-learn, OpenCV oder Point Cloud Library (Data Science oder Computer Vision)
- Erste Erfahrungen mit aktuellen NoSQL-Datenbanksystemen, verteilten Speichersystemen und Stream-Prozessoren wie Apache Spark oder Flink sowie Cloud Plattformen (Data Engineering)
- Erste Programmiererfahrung in der Softwareentwicklung (C/C++, Python und idealerweise C#, Java)
- Interesse daran, deine theoretisch fundierte Arbeitsweise sowie Kreativität in der Praxis in innovative Lösungsideen umzusetzen und dich dabei in unsere Anwendungsdomänen und Nutzer hineinzudenken.
Benefits
- Flexible Arbeitszeiten
- Mobiles Arbeiten möglich
- Firmenlaptop
- Individuelle Einarbeitung und Onboarding
- Networking-Events
- Private Freizeit- und Weiterbildungsprogramme
- Betriebssport und Präventionskurse
- Gesundheitszentrum und Fitnessstudio
- Rabatte in regionalen Fitnessstudios
- Betriebsnahe Kita und Eltern-Kind Büros
- Bezuschusstes Betriebsrestaurant
- Gute Verkehrsanbindung & Parkplätze
- Events für Mitarbeitende und deren Familien
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