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3 matching jobs found

  • Professional Machine Learning Entwickler (m/w/d) Gen AI & Recommender Systems Explorer

    Travel
    Erfurt
    Was Du mitbringst:
    • Du bringst mindestens 3 Jahre Erfahrung in der Entwicklung von generativen KI- und Machine-Learning-Anwendungen mit, idealerweise in den Bereichen Recommender- und Ranking-Systeme
    • Python beherrschst Du sicher und nutzt gängige ML-Bibliotheken/Frameworks (z. B. scikit-learn, TensorFlow) souverän
    • Du hast Erfahrung im Umgang mit relationalen Datenbanken (insbesondere SQL) sowie weiteren Datenbank- und Speichertechnologien (Elasticsearch, Redis)
    • An komplexe Fragestellungen gehst Du mit Statistik und Machine Learning analytisch heran und findest passende Lösungen
    • Du hast Freude daran, Machine-Learning- und KI-Services mithilfe von Software-Engineering-Skills und moderner Cloud-Technologien von der Konzeption bis zur Umsetzung voranzubringen
    • Verhandlungssichere Deutsch- und Englischkenntnisse (mindestens C1-Niveau) sind zwingend erforderlich und runden Dein Profil ab
    Show job

  • Working Student (m/f/d) Data Science Computer Vision / IdentityCheck

    IdentityCheck
    München
    Your Qualifications:
    • You are currently enrolled in a degree program in Mathematics, Computer Science or a comparable field
    • Solid Python skills support your daily work
    • You have already gained initial practical experience with machine learning methods in the field of computer vision
    • A precise and detail-oriented approach to datasets and experiments defines your way of working
    • You are interested in computer vision and machine learning applications on mobile devices such as Android and iOS
    • Experience with Photoshop, GIMP, or similar image editing software is beneficial
    • Good English skills (minimum C1 level), German skills are a plus
    Show job

  • Werkstudent (m/w/d) Data Science – Hotel

    Travel
    Münster
    Was Du mitbringst:
    • Laufendes Studium mit naturwissenschaftlicher oder technischer Ausrichtung (z. B. Informatik, Wirtschaftsinformatik, Mathematik oder Physik)
    • Erste praktische Erfahrung mit Python und gängigen Data-Science-Bibliotheken (z. B. Pandas, NumPy, scikit-learn)
    • Grundkenntnisse in Machine Learning sowie Verständnis des Data-Science-Lifecycles
    • Interesse an modernen KI-Technologien wie Large Language Models, Prompt Engineering und AI Agents
    • Erste Berührungspunkte mit Docker oder Cloud-Plattformen (z. B. AWS) von Vorteil
    • Analytisches Denkvermögen sowie Freude am Arbeiten mit Daten und Zahlen
    • Eigenverantwortliche und lösungsorientierte Arbeitsweise mit Hands-on-Mentalität
    • Gute Deutschkenntnisse (mind. B2) runden Dein Profil ab
    Show job

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