Praktikant im Bereich AI Research (m/w/d)
Immediately searched (unlimited)
40 h per week
1–2.500 € per month
1 - 2 days per week homeoffice
Deine Mission – Hier bewegst du etwas:
- Zukunftsforschung: Du evaluierst und implementierst State-of-the-Art Machine Learning und Deep Learning Modelle, um komplexe Klimadaten zu analysieren.
- Prototyping: Du entwickelst innovative AI-Prototypen und testest deren Machbarkeit für den praktischen Einsatz in der Praxis.
- Data Engineering: Du arbeitest mit großen, oft unstrukturierten Umwelt- und Klimadatensätzen und bereitest diese für das Modelltraining vor.
- Collaboration: Du arbeitest eng mit unseren Data Scientists, Software Engineers und Klimaexperten zusammen, um wissenschaftliche Erkenntnisse in echte Tech-Features zu verwandeln.
Occupational fields
Operations Research Analyst (m/w/d)
Supply Chain Management
Procurement & Supply Chain
Was bieten wir?
- Sinnstiftende Arbeit: Die Chance, aktiv an Technologien mitzuwirken, die den Klimawandel bekämpfen.
- Steile Lernkurve: Mentoring durch erfahrene AI- und Data-Science-Experten, die dich in deiner Entwicklung unterstützen.
- Flexibilität: Hybrides Arbeiten (Kombination aus Homeoffice und Office) sowie flexible Arbeitszeiten, die sich perfekt mit deinem Studium vereinbaren lassen.
- Teamkultur: Ein dynamisches, internationales und visionäres Team mit flachen Hierarchien und Startup-Mentalität.
- Networking: Knüpfe wertvolle Kontakte in der Tech- und Nachhaltigkeitsszene für deine spätere Karriere.
Das bringst du mit – Dein Profil:
- Laufendes Studium: Du befindest dich im fortgeschrittenen Bachelor- oder Masterstudium der (Wirtschafts-)Informatik, Mathematik, Physik, Data Science oder einem vergleichbaren Studiengang mit starkem quantitativem Fokus.
- AI-Fundament: Erste praktische Erfahrung oder relevante universitäre Projekte im Bereich Machine Learning, Deep Learning oder NLP (Natural Language Processing).
- Tech-Stack: Sicherer Umgang mit Python sowie gängigen Frameworks wie PyTorch, TensorFlow oder Scikit-Learn.
- Analytical Mindset: Du hast eine ausgeprägte Leidenschaft für Daten, ein starkes analytisches Denkvermögen und die Fähigkeit, komplexe wissenschaftliche Paper zu verstehen und umzusetzen.
- Climate Passion: Ein echtes Interesse an Nachhaltigkeit, erneuerbaren Energien und Climate Tech.
- Sprachkenntnisse: Fließende Englischkenntnisse (Projektsprache); Deutschkenntnisse sind ein Plus, aber kein Muss.
All levels welcome
Languages
English
German
Skill set
Python
Daten-Pipeline
Architektur-Rahmenwerk
About Nuno GmbH
Nuno Labs macht Einspeiseprognosen für große Solarparks, indem sie Wolkenkameras am Solarpark installieren und Bilder vom Himmel in ihr KI Modell füttern.
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