DEINE ROLLE - KI-Services entwickeln: Du konzipierst, entwickelst und implementierst neue Machine-Learning-Modelle, die unsere Software intelligent erweitern – etwa für die automatisierte Bewertung medizinischer Daten, Textklassifikation oder Entscheidungsunterstützung in der Rechnungsprüfung. - Modellintegration und MLOps: ...
DEINE ROLLE - Machine Learning Anwendungen: Du entwickelst moderne, skalierbare Machine Learning-Lösungen auf der Google Cloud. - Deployment: Du setzt Python ein, um Machine Learning-Modelle in produktionsbereite Daten-Pipelines zu integrieren. - Kundenspezifische Lösungen: Du übersetzt Kundenanforderungen effizient in ...
... Studies in Computer Science, Business Informatics, Data Science, Artificial Intelligence, or a related field. - Initial practical experience or strong interest in data analytics, reporting, dashboards, machine learning, NLP, or generative AI. - Good understanding of data preparation, KPI design, and analytical reporting solutions. ...
... idealerweise Promotion, in Physik, Mathematik, Informatik, Data Science, KI oder Ingenieurwissenschaften - Mindestens drei Jahre Erfahrung entlang des gesamten Data-Science- und Machine-Learning-Lebenszyklus - Fundierte Kenntnisse in Datenanalyse, statistischen Methoden, Machine Learning und zugrunde liegenden Algorithmen ...
... development 2-4 years of hands-on experience in machine learning, including coursework or practical work with NLP or LLMs Proficiency in Python for data analysis (Pandas, NumPy) and ML model development (scikit-learn, PyTorch) Experience programming in Java and C++ Strong understanding of Linux, including command-line usage, ...
... science, mathematics, statistics, econometrics, or related fields. You are developing an interdisciplinary research agenda in AI, covering topics such as: - Machine Learning: supervised, unsupervised, and reinforcement learning - Deep learning: neural networks, representation learning, generative models - AI Systems: model ...
... supervised by a university throughout the project. What should you bring along? - Studies in computer science, robotics, or a related field with a focus on machine learning. - Excellent knowledge of machine learning and computer vision. - Strong programming skills. - Proficiency in Python and deep learning frameworks such ...
... Weiterentwicklung unserer digitalen Audit-Lösungen zusammen. Dein Profil - Ausbildung & Erfahrung: Du hast ein abgeschlossenes Studium der Informatik, Wirtschaftsinformatik, Data Science, Mathematik oder eines vergleichbaren Studiengangs. Erste praktische Erfahrungen in den Bereichen Data Engineering, Cloud Computing, Machine Learning ...
... (computer science, statistics, mathematics, physics, engineering, or similar). - A deep curiosity about data and the processes behind it, with strong problem-solving and analytical instincts. - Proven experience in data analysis, statistical modeling, and machine learning. - Expert-level Python, SQL, data visualization, and Git. ...
... tools - Practical experience with machine learning and/or analysis of whole-genome sequencing data - Interest in bacterial genomics and clinical microbiology and willingness to combine computational work with experiments at the bench - Independent and structured working style, team orientation and scientific rigour, ideally ...